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Model: AndriLawrence/Qwen-3B-Intent-Microplan-v2 Source: Original Platform
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.gguf filter=lfs diff=lfs merge=lfs -text
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merged/dpo_fp16/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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merged/sft_fp16/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- en
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tags:
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- qwen
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- qwen2.5
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- 3b
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- lora
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- peft
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- sft
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- dialog
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- intent-detection
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- microplanning
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- npc
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library_name: transformers
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license: other
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pipeline_tag: text-generation
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model-index:
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- name: AndriLawrence/Qwen-3B-Intent-Microplan-v2
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results: []
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datasets:
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- name: llm1_qwen_base_lora16_v6 (curated v2)
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type: jsonl
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args:
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split: train/val 90/10
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size_train: 4320
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size_val: 480
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size_total_source: ~6300
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description: >-
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English-only, diegetic NPC dataset; strict JSON outputs with {dialog,
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intent, microplan}.
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label_space:
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- social_greeting
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- acknowledge_touch
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- acknowledge_compliment
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- react_to_player_action
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- invite_follow
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- encourage_explain
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- calm_reassure
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- idle_initiative
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- respect_distance
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- initiate_hand_holding
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- initiate_hug
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- cuddle_sleep
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- offer_item
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- accept_item
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- open_door
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- inspect_object
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- trigger_object
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- small_talk_emotion
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- end_conversation_politely
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configs:
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- task: text-generation
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base_model: Qwen/Qwen2.5-3B-Instruct
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adapters:
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- type: lora
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path: checkpoints/adapter_final
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merged_variants:
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- path: merged/sft-fp16
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quantized:
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- format: gguf
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files:
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- gguf/sft-q6_k.gguf
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- gguf/sft-q4_k_m.gguf
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- gguf/rin_style.gguf
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base_model:
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- Qwen/Qwen2.5-3B-Instruct
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---
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# AndriLawrence/Qwen-3B-Intent-Microplan-v2
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“Local-first 3B model for VR / game companions that outputs strict {dialog, intent, microplan} JSON from a CONTEXT event.”
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**English-only** finetune of **Qwen2.5-3B-Instruct** for **intent + microplan–driven NPC dialog**.
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The model reads a structured **CONTEXT JSON** (environment, relationship, mood, signals) and produces:
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* `intent` (one of 19 whitelisted labels)
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* `microplan` (low-level action primitives)
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* `dialog` as **strict JSON**
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> **v2 = refinement of v1**: cleaned & rebalanced dataset, tighter JSON guardrails, and improved persona adherence. v2 is more stable (almost no JSON leaks), better label alignment, and more consistent diegetic tone.
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-----
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## 🧩 Intended Use
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* Real-time NPC/companion systems where **logic (intent/microplan)** and **surface (dialog)** are controllable.
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* Fits a **two-stage pipeline**:
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Model A (intent+microplan) → Model B (persona dialog), or single-shot for all three fields.
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**Limitations**
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* English-only.
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-----
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## 📦 Assets
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* **LoRA adapters (PEFT, SFT)** → `checkpoints/adapter_final`
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* **Merged FP16** → `./`
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* **GGUF quants (llama.cpp / llama-cpp-python)** → `gguf/sft-q6_k.gguf`, `gguf/sft-q4_k_m.gguf`
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* **GGUF Style Fine-tune (Example)** → `gguf/rin_style.gguf` (See fine-tuning section)
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-----
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## 🎮 Rin JSON Brain – Recommended System Prompt
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This is the system prompt used in the author’s VR NPC setup (Unity).
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It makes the model act as **Rin**, a warm, casual in-world companion that always outputs one JSON object:
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```text
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SYSTEM
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You are **LLM-1**, the social brain of a VR NPC named **Rin** (warm, gentle, supportive, casual).
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You read one JSON event and must reply with **exactly one** JSON object. No extra text.
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OUTPUT SCHEMA:
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{
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"dialog": [{ "speaker": "npc", "text": string }],
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"intent": string,
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"microplan": [string]
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}
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INTERNAL THINKING (silent, super short):
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- In your head, ask: “What happened?” and summarize it in one very short line.
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- Still in your head, pick the best intent and microplan.
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- Think fast and efficiently; no long inner monologue.
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- Do NOT show your thoughts or any <think> tags; only output the JSON.
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RULES:
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- English only, first person as Rin.
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- Tone: relaxed, soft, a bit playful; never formal or corporate.
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- Avoid helper clichés (“I’m here to help”, “How can I assist you”, “at your service”)
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- Never repeat a full sentence you already said in MEMORY; rephrase instead.
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- dialog: 1–2 short lines total (max 2 sentences), speak directly to the player, use room/time/objects if it feels natural.
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ALLOWED_INTENTS:
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- social_greeting
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- acknowledge_touch
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- acknowledge_compliment
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- react_to_player_action
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- invite_follow
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- encourage_explain
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- calm_reassure
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- idle_initiative
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- respect_distance
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- initiate_hand_holding
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- initiate_hug
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- cuddle_sleep
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- offer_item
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- accept_item
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- open_door
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- inspect_object
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- trigger_object
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- small_talk_emotion
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- end_conversation_politely
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MICROPLAN (optional, 0–5 steps; or []):
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- "Smile (0.6)"
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- "Nod (0.5)"
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- "Eye contact (1.2s)"
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- "Step back (0.3m)"
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- "Extend hand"
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- "Hug (gentle, 2s)"
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- "Offer blanket"
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LIGHT ROUTING:
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- event == "Player_Touches" → "acknowledge_touch".
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- event == "Player_Action":
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- looking/checking → "inspect_object"
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- using/toggling/switching → "trigger_object"
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- opening/closing door/panel → "open_door"
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- Compliment words (nice / great / love / beautiful / cool) → usually "acknowledge_compliment".
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- Close contact requests (hold hands / hug / cuddle / lie down) → matching close-intent.
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- Very close without request (distance < 0.5m) → "respect_distance" (+ maybe "Step back (0.3m)").
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- If nothing urgent → "idle_initiative" or "small_talk_emotion".
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```
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-----
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## 🔧 Recommended Inference Settings
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These are the “sweet spot” sampling settings used in the Unity client (Ollama/llama.cpp-style).
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They balance creativity with JSON stability for Rin:
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```json
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{
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"temperature": 0.65,
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"top_p": 0.90,
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"top_k": 40,
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"repetition_penalty": 1.05,
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"repeat_last_n": 192,
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"num_ctx": 4096,
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"mirostat": 2,
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"mirostat_tau": 2.18,
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"mirostat_eta": 0.11,
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"seed": 42, // or random per call
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"max_tokens": 160 // enough for one JSON object
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}
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```
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Unity-side extras used by the author:
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* **Max Resample**: `2`
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* **Resample Temp Step**: `0.1`
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* **Memory**: last `10` dialog turns + `6` recent actions
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You can safely lower `temperature` to \~0.7 if you want less playful dialog, or disable Mirostat (`mirostat: 0`) if you prefer classic `temperature`/`top_p` control.
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-----
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## 🧠 Output Contract
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**Single JSON object**:
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```json
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{
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"dialog": [
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{
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"speaker": "npc",
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"text": "Come on, this way; the room’s quiet and warm tonight."
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}
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],
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"intent": "invite_follow",
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"microplan": ["Smile (0.6)", "Extend hand"]
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}
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```
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No extra prose, markdown, or `<think>` blocks are expected.
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-----
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## 🚀 Quickstart
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### 1\) Use **LoRA** on top of base Qwen2.5-3B-Instruct
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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from peft import PeftModel
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BASE = "Qwen/Qwen2.5-3B-Instruct"
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ADAPTER = "AndriLawrence/Qwen-3B-Intent-Microplan-v2/checkpoints/adapter_final"
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tok = AutoTokenizer.from_pretrained(BASE, use_fast=True, trust_remote_code=True)
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if tok.pad_token is None:
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tok.pad_token = tok.eos_token
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model = AutoModelForCausalLM.from_pretrained(
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BASE, torch_dtype=torch.float16, device_map="auto", trust_remote_code=True
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)
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model = PeftModel.from_pretrained(model, ADAPTER)
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messages = [
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{
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"role": "system",
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"content": (
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"You are LLM-1, the social brain of a VR NPC named Rin. "
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"Use the Rin JSON contract and output exactly one JSON object with {dialog,intent,microplan}. "
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"No extra text."
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)
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},
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{
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"role": "user",
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"content": "CONTEXT: {...}" # your context JSON event
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}
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]
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prompt = tok.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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ids = tok(prompt, return_tensors="pt").to(model.device)
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out = model.generate(
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**ids,
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max_new_tokens=160,
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do_sample=True,
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temperature=0.9,
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top_p=0.9,
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top_k=40,
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repetition_penalty=1.05,
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eos_token_id=tok.eos_token_id
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)
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print(tok.decode(out[0], skip_special_tokens=True))
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```
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### 2\) Use the **merged FP16** model
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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MODEL = "AndriLawrence/Qwen-3B-Intent-Microplan-v2/"
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tok = AutoTokenizer.from_pretrained(MODEL, use_fast=True, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(
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MODEL, torch_dtype=torch.float16, device_map="auto", trust_remote_code=True
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)
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```
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### 3\) Use the **GGUF** quant (llama.cpp / llama-cpp-python)
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```python
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from llama_cpp import Llama
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llm = Llama.from_pretrained(
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repo_id="AndriLawrence/Qwen-3B-Intent-Microplan-v2",
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filename="gguf/sft-q6_k.gguf",
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n_ctx=4096,
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n_gpu_layers=35
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)
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resp = llm.create_chat_completion(messages=[
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{
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"role": "system",
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"content": "You are LLM-1 (Rin). Output exactly one JSON object with {dialog,intent,microplan}."
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},
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{"role": "user", "content": "CONTEXT: {...}"}
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])
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print(resp["choices"][0]["message"]["content"])
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```
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-----
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## 💡 Fine-Tuning for Custom Characters (Recommended)
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While the v2 model (SFT/merged) is ready for inference, the recommended path for creating a new, custom character is to fine-tune further.
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The base SFT checkpoint **[checkpoints/checkpoint-600](https://huggingface.co/AndriLawrence/Qwen-3B-Intent-Microplan-v2/tree/main/checkpoints/checkpoint-600)** is the ideal starting point. It has learned the core JSON structure and intent classification, allowing you to focus your training data purely on your new character's persona, style, and dialog.
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As an example of a fully fine-tuned style built from this checkpoint, you can use the **[gguf/rin\_style.gguf](https://huggingface.co/AndriLawrence/Qwen-3B-Intent-Microplan-v2/blob/main/gguf/rin_style.gguf)** file. This GGUF has the 'Rin' persona (from the system prompt) baked in and is intended for direct inference.
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### SFT Training Format
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Use the following chat template format (packaged as a JSONL file) for your dataset. Each line is a single `{"messages": [...]}` object.
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```json
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{"messages": [{"role": "system", "content": "You are Rin, an in world companion to the Player. Style: soft. Relationship: new. Trust: medium. You are NOT a chatbot or assistant. Stay diegetic and life like. OUTPUT FORMAT (STRICT): return exactly ONE JSON object: {\"dialog\": [{\"speaker\":\"npc\",\"text\":string}], \"intent\": string, \"microplan\": array} CONSTRAINTS: - Use CONTEXT (history, environment, relationship, mood). - Intent must match event and signals, microplan must fit intent. - JSON only. No markdown, no meta talk. - NEVER start text with \"I'm\" or \"I am\". Be natural, casual, intimate. - Respect consent, safety, and boundaries always. - Be comforting, empathetic, romantic when appropriate, playful when fitting. ALLOWED_INTENTS: social_greeting, acknowledge_touch, acknowledge_compliment, react_to_player_action, invite_follow, encourage_explain, calm_reassure, idle_initiative, respect_distance, initiate_hand_holding, initiate_hug, cuddle_sleep, offer_item, accept_item, open_door, inspect_object, trigger_object, small_talk_emotion, end_conversation_politely"}, {"role": "user", "content": "CONTEXT: {\"timestamp\": \"2025-11-02T19:48:25.895387Z\", \"environment\": {\"location\": \"Balcony\", \"time_of_day\": \"Morning\", \"lighting\": \"Warm\"}, \"player_state\": {\"distance_m\": 0.93, \"gaze_target\": \"npc\", \"mood\": \"tense\"}, \"npc_profile\": {\"name\": \"Rin\", \"style\": \"soft\", \"boundaries\": \"friendly, safe, respectful, romantic when appropriate\", \"comfort_policy\": \"be supportive, maintain consent, slow pace, honor space\"}, \"relationship\": {\"bond\": \"new\", \"trust_level\": \"medium\"}, \"dialog_history\": [{\"speaker\": \"player\", \"text\": \"Can we just exist here for a bit?\"}], \"action_history\": [\"Approach(side=front, offset=1.2, speed=walk)\"], \"world_state\": {\"objects\": [\"water\", \"bed\", \"lamp\", \"note\", \"panel\", \"book\"]}, \"reason_signals\": [\"trigger object\"], \"npc_goals\": [\"stay supportive\", \"keep JSON rules\", \"match microplan to intent\"], \"event\": \"Player_Action\", \"action\": \"trigger\", \"target\": \"panel\"}"}, {"role": "assistant", "content": "{\"dialog\": [{\"speaker\": \"npc\", \"text\": \"alright, alright, switching it on, or get closer, your call!\"}], \"intent\": \"trigger_object\", \"microplan\": [\"MoveToObject(name=\\\"switch\\\", offset=0.5, speed=walk)\", \"Gesture(name=Toggle, seconds=0.7)\"]}"}]}
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```
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### Breakdown of the CONTEXT Format
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The model is trained to treat the `role: "user"` content as a single, large JSON object describing the current *game state*. Here is a detailed breakdown of each part:
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* **`role: "system"`**: Contains the core instructions, persona (e.g., Rin), output schema (JSON), constraints (e.g., no "I'm"), and the `ALLOWED_INTENTS` list. This is the permanent "rulebook" for the model.
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* **`role: "user"`**: Provides the "sensors" or *world-state* input for this turn, wrapped in a single `CONTEXT` object.
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* `"timestamp"`: An ISO 8601 timestamp of when this event occurred.
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* `"environment"`: An object describing the physical world around the NPC.
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* `"location"`: The name of the current location (e.g., "Balcony").
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* `"time_of_day"`: The current time (e.g., "Morning").
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* `"lighting"`: A description of the lighting (e.g., "Warm").
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* `"player_state"`: An object describing the player's current state.
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* `"distance_m"`: The player's distance from the NPC in meters.
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* `"gaze_target"`: What the player is currently looking at (e.g., "npc", "panel").
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* `"mood"`: The perceived mood of the player (e.g., "tense", "happy").
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* `"npc_profile"`: An object defining the NPC's core personality.
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* `"name"`: The NPC's name.
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* `"style"`: The general demeanor (e.g., "soft", "cheerful").
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* `"boundaries"` / `"comfort_policy"`: Internal rules for the NPC's behavior.
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* `"relationship"`: An object defining the NPC's connection to the player.
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* `"bond"`: The current relationship status (e.g., "new", "close").
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* `"trust_level"`: The level of trust (e.g., "medium").
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* `"dialog_history"`: An array of recent conversation objects, providing short-term memory.
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* `"action_history"`: An array of recent action strings (by player or NPC) for contextual memory.
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* `"world_state"`: An object containing lists of perceivable things.
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* `"objects"`: An array of strings of nearby interactable objects (e.g., "panel", "book").
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* `"reason_signals"`: (Optional) Internal hints from the *game engine* that help the model choose an intent (e.g., ["trigger object"]).
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* `"npc_goals"`: (Optional) Task/rule reminders for this turn (e.g., ["keep JSON rules"]).
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* `"event"`: **The Main Trigger.** The type of event that occurred (e.g., "Player\_Action", "Player\_Touches", "Player\_Speaks").
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* `"action"`: The specific action associated with the `event` (e.g., "trigger", "approach", "touch\_head").
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* `"target"`: The target of the `action` (e.g., "panel", "npc").
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* **`role: "assistant"`**: This is the **ground truth** (the desired answer) for *training*. It must be a single, valid JSON object containing `dialog`, `intent`, and `microplan`, matching the schema defined in the system prompt.
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-----
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||||
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## 🏗️ Training Summary (v2)
|
||||
|
||||
* **Base**: `Qwen/Qwen2.5-3B-Instruct`
|
||||
|
||||
* **Finetune**: **SFT (LoRA, PEFT)**
|
||||
|
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* LoRA: `r=16, alpha=32, dropout=0.1`
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||||
* Target: `q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj`
|
||||
|
||||
* **Batching**: `per_device_train_batch_size=1`, **grad\_accum=16** (effective batch 16)
|
||||
|
||||
* **Epochs**: 1–2
|
||||
|
||||
* **LR**: `2e-5`, cosine scheduler, warmup 5%, weight\_decay `0.01`, `max_grad_norm=1.0`
|
||||
|
||||
* **Seq length**: typical sample ≤640–768 tokens, `packing=False`, `completion_only_loss=True`
|
||||
|
||||
* **Stability**: FP16 (T4), SDPA attention, gradient checkpointing
|
||||
|
||||
* **Eval/Logging**: lightweight; save at step/epoch as needed
|
||||
|
||||
v2 also includes:
|
||||
|
||||
* marker normalization
|
||||
* JSON schema validation
|
||||
* intent whitelist checks
|
||||
* length filtering for stable inference on consumer GPUs
|
||||
|
||||
-----
|
||||
|
||||
## 🧪 Evaluation Ideas
|
||||
|
||||
* **JSON validity rate** (parsable, required fields present)
|
||||
* **Intent accuracy** on a labeled dev split
|
||||
* **Policy violations** (non-JSON text, “I’m/I am” openings, etc.)
|
||||
* **Persona adherence** (heuristics)
|
||||
* **Latency/throughput** under game-like context sizes
|
||||
|
||||
-----
|
||||
|
||||
## 📄 License
|
||||
|
||||
This model inherits the license terms of the base model and the underlying dataset(s).
|
||||
Please review `LICENSE` here and the license for `Qwen/Qwen2.5-3B-Instruct` before use.
|
||||
|
||||
-----
|
||||
|
||||
## ✨ Changelog
|
||||
|
||||
**v2**
|
||||
|
||||
* English-only curated set, cleaned & rebalanced (90/10 split)
|
||||
* Stronger JSON guardrails; fewer leaks; improved persona consistency
|
||||
* Length filtering for stable inference/training on consumer GPUs
|
||||
|
||||
**v1**
|
||||
|
||||
* Initial SFT with looser distribution and softer JSON constraints; using RP merged model as base.
|
||||
24
added_tokens.json
Normal file
24
added_tokens.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"</tool_call>": 151658,
|
||||
"<tool_call>": 151657,
|
||||
"<|box_end|>": 151649,
|
||||
"<|box_start|>": 151648,
|
||||
"<|endoftext|>": 151643,
|
||||
"<|file_sep|>": 151664,
|
||||
"<|fim_middle|>": 151660,
|
||||
"<|fim_pad|>": 151662,
|
||||
"<|fim_prefix|>": 151659,
|
||||
"<|fim_suffix|>": 151661,
|
||||
"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644,
|
||||
"<|image_pad|>": 151655,
|
||||
"<|object_ref_end|>": 151647,
|
||||
"<|object_ref_start|>": 151646,
|
||||
"<|quad_end|>": 151651,
|
||||
"<|quad_start|>": 151650,
|
||||
"<|repo_name|>": 151663,
|
||||
"<|video_pad|>": 151656,
|
||||
"<|vision_end|>": 151653,
|
||||
"<|vision_pad|>": 151654,
|
||||
"<|vision_start|>": 151652
|
||||
}
|
||||
54
chat_template.jinja
Normal file
54
chat_template.jinja
Normal file
@@ -0,0 +1,54 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- messages[0]['content'] }}
|
||||
{%- else %}
|
||||
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
||||
{%- endif %}
|
||||
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
209
checkpoints/adapter_dpo_final/README.md
Normal file
209
checkpoints/adapter_dpo_final/README.md
Normal file
@@ -0,0 +1,209 @@
|
||||
---
|
||||
base_model: Qwen/Qwen2.5-3B-Instruct
|
||||
library_name: peft
|
||||
pipeline_tag: text-generation
|
||||
tags:
|
||||
- base_model:adapter:Qwen/Qwen2.5-3B-Instruct
|
||||
- dpo
|
||||
- lora
|
||||
- transformers
|
||||
- trl
|
||||
---
|
||||
|
||||
# Model Card for Model ID
|
||||
|
||||
<!-- Provide a quick summary of what the model is/does. -->
|
||||
|
||||
|
||||
|
||||
## Model Details
|
||||
|
||||
### Model Description
|
||||
|
||||
<!-- Provide a longer summary of what this model is. -->
|
||||
|
||||
|
||||
|
||||
- **Developed by:** [More Information Needed]
|
||||
- **Funded by [optional]:** [More Information Needed]
|
||||
- **Shared by [optional]:** [More Information Needed]
|
||||
- **Model type:** [More Information Needed]
|
||||
- **Language(s) (NLP):** [More Information Needed]
|
||||
- **License:** [More Information Needed]
|
||||
- **Finetuned from model [optional]:** [More Information Needed]
|
||||
|
||||
### Model Sources [optional]
|
||||
|
||||
<!-- Provide the basic links for the model. -->
|
||||
|
||||
- **Repository:** [More Information Needed]
|
||||
- **Paper [optional]:** [More Information Needed]
|
||||
- **Demo [optional]:** [More Information Needed]
|
||||
|
||||
## Uses
|
||||
|
||||
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
||||
|
||||
### Direct Use
|
||||
|
||||
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Downstream Use [optional]
|
||||
|
||||
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Out-of-Scope Use
|
||||
|
||||
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Bias, Risks, and Limitations
|
||||
|
||||
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Recommendations
|
||||
|
||||
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
||||
|
||||
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
||||
|
||||
## How to Get Started with the Model
|
||||
|
||||
Use the code below to get started with the model.
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Training Details
|
||||
|
||||
### Training Data
|
||||
|
||||
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Training Procedure
|
||||
|
||||
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
||||
|
||||
#### Preprocessing [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
|
||||
#### Training Hyperparameters
|
||||
|
||||
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
||||
|
||||
#### Speeds, Sizes, Times [optional]
|
||||
|
||||
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Evaluation
|
||||
|
||||
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||
|
||||
### Testing Data, Factors & Metrics
|
||||
|
||||
#### Testing Data
|
||||
|
||||
<!-- This should link to a Dataset Card if possible. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Factors
|
||||
|
||||
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Metrics
|
||||
|
||||
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Results
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Summary
|
||||
|
||||
|
||||
|
||||
## Model Examination [optional]
|
||||
|
||||
<!-- Relevant interpretability work for the model goes here -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Environmental Impact
|
||||
|
||||
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
||||
|
||||
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
||||
|
||||
- **Hardware Type:** [More Information Needed]
|
||||
- **Hours used:** [More Information Needed]
|
||||
- **Cloud Provider:** [More Information Needed]
|
||||
- **Compute Region:** [More Information Needed]
|
||||
- **Carbon Emitted:** [More Information Needed]
|
||||
|
||||
## Technical Specifications [optional]
|
||||
|
||||
### Model Architecture and Objective
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Compute Infrastructure
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Hardware
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Software
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Citation [optional]
|
||||
|
||||
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||
|
||||
**BibTeX:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
**APA:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Glossary [optional]
|
||||
|
||||
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## More Information [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Authors [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Contact
|
||||
|
||||
[More Information Needed]
|
||||
### Framework versions
|
||||
|
||||
- PEFT 0.17.1
|
||||
42
checkpoints/adapter_dpo_final/adapter_config.json
Normal file
42
checkpoints/adapter_dpo_final/adapter_config.json
Normal file
@@ -0,0 +1,42 @@
|
||||
{
|
||||
"alpha_pattern": {},
|
||||
"auto_mapping": null,
|
||||
"base_model_name_or_path": "Qwen/Qwen2.5-3B-Instruct",
|
||||
"bias": "none",
|
||||
"corda_config": null,
|
||||
"eva_config": null,
|
||||
"exclude_modules": null,
|
||||
"fan_in_fan_out": false,
|
||||
"inference_mode": true,
|
||||
"init_lora_weights": true,
|
||||
"layer_replication": null,
|
||||
"layers_pattern": null,
|
||||
"layers_to_transform": null,
|
||||
"loftq_config": {},
|
||||
"lora_alpha": 32,
|
||||
"lora_bias": false,
|
||||
"lora_dropout": 0.05,
|
||||
"megatron_config": null,
|
||||
"megatron_core": "megatron.core",
|
||||
"modules_to_save": null,
|
||||
"peft_type": "LORA",
|
||||
"qalora_group_size": 16,
|
||||
"r": 16,
|
||||
"rank_pattern": {},
|
||||
"revision": null,
|
||||
"target_modules": [
|
||||
"k_proj",
|
||||
"down_proj",
|
||||
"up_proj",
|
||||
"gate_proj",
|
||||
"v_proj",
|
||||
"o_proj",
|
||||
"q_proj"
|
||||
],
|
||||
"target_parameters": null,
|
||||
"task_type": "CAUSAL_LM",
|
||||
"trainable_token_indices": null,
|
||||
"use_dora": false,
|
||||
"use_qalora": false,
|
||||
"use_rslora": false
|
||||
}
|
||||
3
checkpoints/adapter_dpo_final/adapter_model.safetensors
Normal file
3
checkpoints/adapter_dpo_final/adapter_model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b0a3daee857c041310aebba8c3542c2ef50ddb63d829cfbfa7855323b146a305
|
||||
size 119801528
|
||||
24
checkpoints/adapter_dpo_final/added_tokens.json
Normal file
24
checkpoints/adapter_dpo_final/added_tokens.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"</tool_call>": 151658,
|
||||
"<tool_call>": 151657,
|
||||
"<|box_end|>": 151649,
|
||||
"<|box_start|>": 151648,
|
||||
"<|endoftext|>": 151643,
|
||||
"<|file_sep|>": 151664,
|
||||
"<|fim_middle|>": 151660,
|
||||
"<|fim_pad|>": 151662,
|
||||
"<|fim_prefix|>": 151659,
|
||||
"<|fim_suffix|>": 151661,
|
||||
"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644,
|
||||
"<|image_pad|>": 151655,
|
||||
"<|object_ref_end|>": 151647,
|
||||
"<|object_ref_start|>": 151646,
|
||||
"<|quad_end|>": 151651,
|
||||
"<|quad_start|>": 151650,
|
||||
"<|repo_name|>": 151663,
|
||||
"<|video_pad|>": 151656,
|
||||
"<|vision_end|>": 151653,
|
||||
"<|vision_pad|>": 151654,
|
||||
"<|vision_start|>": 151652
|
||||
}
|
||||
54
checkpoints/adapter_dpo_final/chat_template.jinja
Normal file
54
checkpoints/adapter_dpo_final/chat_template.jinja
Normal file
@@ -0,0 +1,54 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- messages[0]['content'] }}
|
||||
{%- else %}
|
||||
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
||||
{%- endif %}
|
||||
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
151388
checkpoints/adapter_dpo_final/merges.txt
Normal file
151388
checkpoints/adapter_dpo_final/merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
31
checkpoints/adapter_dpo_final/special_tokens_map.json
Normal file
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checkpoints/adapter_dpo_final/special_tokens_map.json
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||||
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||||
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||||
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checkpoints/adapter_dpo_final/tokenizer.json
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|
||||
3
checkpoints/adapter_dpo_final/training_args.bin
Normal file
3
checkpoints/adapter_dpo_final/training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9241888489db4a7c658e714d47e82540ca7834976ef6cd90d7747c0769c7f480
|
||||
size 6865
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||||
1
checkpoints/adapter_dpo_final/vocab.json
Normal file
1
checkpoints/adapter_dpo_final/vocab.json
Normal file
File diff suppressed because one or more lines are too long
209
checkpoints/adapter_final/README.md
Normal file
209
checkpoints/adapter_final/README.md
Normal file
@@ -0,0 +1,209 @@
|
||||
---
|
||||
base_model: Qwen/Qwen2.5-3B-Instruct
|
||||
library_name: peft
|
||||
pipeline_tag: text-generation
|
||||
tags:
|
||||
- base_model:adapter:Qwen/Qwen2.5-3B-Instruct
|
||||
- lora
|
||||
- sft
|
||||
- transformers
|
||||
- trl
|
||||
---
|
||||
|
||||
# Model Card for Model ID
|
||||
|
||||
<!-- Provide a quick summary of what the model is/does. -->
|
||||
|
||||
|
||||
|
||||
## Model Details
|
||||
|
||||
### Model Description
|
||||
|
||||
<!-- Provide a longer summary of what this model is. -->
|
||||
|
||||
|
||||
|
||||
- **Developed by:** [More Information Needed]
|
||||
- **Funded by [optional]:** [More Information Needed]
|
||||
- **Shared by [optional]:** [More Information Needed]
|
||||
- **Model type:** [More Information Needed]
|
||||
- **Language(s) (NLP):** [More Information Needed]
|
||||
- **License:** [More Information Needed]
|
||||
- **Finetuned from model [optional]:** [More Information Needed]
|
||||
|
||||
### Model Sources [optional]
|
||||
|
||||
<!-- Provide the basic links for the model. -->
|
||||
|
||||
- **Repository:** [More Information Needed]
|
||||
- **Paper [optional]:** [More Information Needed]
|
||||
- **Demo [optional]:** [More Information Needed]
|
||||
|
||||
## Uses
|
||||
|
||||
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
||||
|
||||
### Direct Use
|
||||
|
||||
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Downstream Use [optional]
|
||||
|
||||
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Out-of-Scope Use
|
||||
|
||||
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Bias, Risks, and Limitations
|
||||
|
||||
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Recommendations
|
||||
|
||||
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
||||
|
||||
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
||||
|
||||
## How to Get Started with the Model
|
||||
|
||||
Use the code below to get started with the model.
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Training Details
|
||||
|
||||
### Training Data
|
||||
|
||||
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Training Procedure
|
||||
|
||||
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
||||
|
||||
#### Preprocessing [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
|
||||
#### Training Hyperparameters
|
||||
|
||||
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
||||
|
||||
#### Speeds, Sizes, Times [optional]
|
||||
|
||||
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Evaluation
|
||||
|
||||
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||
|
||||
### Testing Data, Factors & Metrics
|
||||
|
||||
#### Testing Data
|
||||
|
||||
<!-- This should link to a Dataset Card if possible. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Factors
|
||||
|
||||
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Metrics
|
||||
|
||||
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Results
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Summary
|
||||
|
||||
|
||||
|
||||
## Model Examination [optional]
|
||||
|
||||
<!-- Relevant interpretability work for the model goes here -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Environmental Impact
|
||||
|
||||
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
||||
|
||||
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
||||
|
||||
- **Hardware Type:** [More Information Needed]
|
||||
- **Hours used:** [More Information Needed]
|
||||
- **Cloud Provider:** [More Information Needed]
|
||||
- **Compute Region:** [More Information Needed]
|
||||
- **Carbon Emitted:** [More Information Needed]
|
||||
|
||||
## Technical Specifications [optional]
|
||||
|
||||
### Model Architecture and Objective
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Compute Infrastructure
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Hardware
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Software
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Citation [optional]
|
||||
|
||||
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||
|
||||
**BibTeX:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
**APA:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Glossary [optional]
|
||||
|
||||
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## More Information [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Authors [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Contact
|
||||
|
||||
[More Information Needed]
|
||||
### Framework versions
|
||||
|
||||
- PEFT 0.17.1
|
||||
42
checkpoints/adapter_final/adapter_config.json
Normal file
42
checkpoints/adapter_final/adapter_config.json
Normal file
@@ -0,0 +1,42 @@
|
||||
{
|
||||
"alpha_pattern": {},
|
||||
"auto_mapping": null,
|
||||
"base_model_name_or_path": "Qwen/Qwen2.5-3B-Instruct",
|
||||
"bias": "none",
|
||||
"corda_config": null,
|
||||
"eva_config": null,
|
||||
"exclude_modules": null,
|
||||
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|
||||
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|
||||
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|
||||
"layer_replication": null,
|
||||
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|
||||
"layers_to_transform": null,
|
||||
"loftq_config": {},
|
||||
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|
||||
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|
||||
"lora_dropout": 0.1,
|
||||
"megatron_config": null,
|
||||
"megatron_core": "megatron.core",
|
||||
"modules_to_save": null,
|
||||
"peft_type": "LORA",
|
||||
"qalora_group_size": 16,
|
||||
"r": 16,
|
||||
"rank_pattern": {},
|
||||
"revision": null,
|
||||
"target_modules": [
|
||||
"k_proj",
|
||||
"up_proj",
|
||||
"o_proj",
|
||||
"down_proj",
|
||||
"gate_proj",
|
||||
"q_proj",
|
||||
"v_proj"
|
||||
],
|
||||
"target_parameters": null,
|
||||
"task_type": "CAUSAL_LM",
|
||||
"trainable_token_indices": null,
|
||||
"use_dora": false,
|
||||
"use_qalora": false,
|
||||
"use_rslora": false
|
||||
}
|
||||
3
checkpoints/adapter_final/adapter_model.safetensors
Normal file
3
checkpoints/adapter_final/adapter_model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
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version https://git-lfs.github.com/spec/v1
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||||
oid sha256:b42ef722e2231c97c9682d7f160cbcd7dd3a9d2e626123b95da09a6bf6bcf9e1
|
||||
size 119801528
|
||||
24
checkpoints/adapter_final/added_tokens.json
Normal file
24
checkpoints/adapter_final/added_tokens.json
Normal file
@@ -0,0 +1,24 @@
|
||||
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|
||||
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|
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|
||||
"<|fim_suffix|>": 151661,
|
||||
"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644,
|
||||
"<|image_pad|>": 151655,
|
||||
"<|object_ref_end|>": 151647,
|
||||
"<|object_ref_start|>": 151646,
|
||||
"<|quad_end|>": 151651,
|
||||
"<|quad_start|>": 151650,
|
||||
"<|repo_name|>": 151663,
|
||||
"<|video_pad|>": 151656,
|
||||
"<|vision_end|>": 151653,
|
||||
"<|vision_pad|>": 151654,
|
||||
"<|vision_start|>": 151652
|
||||
}
|
||||
54
checkpoints/adapter_final/chat_template.jinja
Normal file
54
checkpoints/adapter_final/chat_template.jinja
Normal file
@@ -0,0 +1,54 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- messages[0]['content'] }}
|
||||
{%- else %}
|
||||
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
||||
{%- endif %}
|
||||
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
151388
checkpoints/adapter_final/merges.txt
Normal file
151388
checkpoints/adapter_final/merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
31
checkpoints/adapter_final/special_tokens_map.json
Normal file
31
checkpoints/adapter_final/special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
checkpoints/adapter_final/tokenizer.json
Normal file
3
checkpoints/adapter_final/tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
207
checkpoints/adapter_final/tokenizer_config.json
Normal file
207
checkpoints/adapter_final/tokenizer_config.json
Normal file
@@ -0,0 +1,207 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
3
checkpoints/adapter_final/training_args.bin
Normal file
3
checkpoints/adapter_final/training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:8a96dfcc72b86fb46bb12947fbaa01c545f6900173eeec8925c3c906b2472256
|
||||
size 6289
|
||||
1
checkpoints/adapter_final/vocab.json
Normal file
1
checkpoints/adapter_final/vocab.json
Normal file
File diff suppressed because one or more lines are too long
209
checkpoints/checkpoint-600/README.md
Normal file
209
checkpoints/checkpoint-600/README.md
Normal file
@@ -0,0 +1,209 @@
|
||||
---
|
||||
base_model: Qwen/Qwen2.5-3B-Instruct
|
||||
library_name: peft
|
||||
pipeline_tag: text-generation
|
||||
tags:
|
||||
- base_model:adapter:Qwen/Qwen2.5-3B-Instruct
|
||||
- lora
|
||||
- sft
|
||||
- transformers
|
||||
- trl
|
||||
---
|
||||
|
||||
# Model Card for Model ID
|
||||
|
||||
<!-- Provide a quick summary of what the model is/does. -->
|
||||
|
||||
|
||||
|
||||
## Model Details
|
||||
|
||||
### Model Description
|
||||
|
||||
<!-- Provide a longer summary of what this model is. -->
|
||||
|
||||
|
||||
|
||||
- **Developed by:** [More Information Needed]
|
||||
- **Funded by [optional]:** [More Information Needed]
|
||||
- **Shared by [optional]:** [More Information Needed]
|
||||
- **Model type:** [More Information Needed]
|
||||
- **Language(s) (NLP):** [More Information Needed]
|
||||
- **License:** [More Information Needed]
|
||||
- **Finetuned from model [optional]:** [More Information Needed]
|
||||
|
||||
### Model Sources [optional]
|
||||
|
||||
<!-- Provide the basic links for the model. -->
|
||||
|
||||
- **Repository:** [More Information Needed]
|
||||
- **Paper [optional]:** [More Information Needed]
|
||||
- **Demo [optional]:** [More Information Needed]
|
||||
|
||||
## Uses
|
||||
|
||||
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
||||
|
||||
### Direct Use
|
||||
|
||||
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Downstream Use [optional]
|
||||
|
||||
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Out-of-Scope Use
|
||||
|
||||
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Bias, Risks, and Limitations
|
||||
|
||||
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Recommendations
|
||||
|
||||
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
||||
|
||||
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
||||
|
||||
## How to Get Started with the Model
|
||||
|
||||
Use the code below to get started with the model.
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Training Details
|
||||
|
||||
### Training Data
|
||||
|
||||
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Training Procedure
|
||||
|
||||
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
||||
|
||||
#### Preprocessing [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
|
||||
#### Training Hyperparameters
|
||||
|
||||
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
||||
|
||||
#### Speeds, Sizes, Times [optional]
|
||||
|
||||
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Evaluation
|
||||
|
||||
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||
|
||||
### Testing Data, Factors & Metrics
|
||||
|
||||
#### Testing Data
|
||||
|
||||
<!-- This should link to a Dataset Card if possible. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Factors
|
||||
|
||||
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Metrics
|
||||
|
||||
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Results
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Summary
|
||||
|
||||
|
||||
|
||||
## Model Examination [optional]
|
||||
|
||||
<!-- Relevant interpretability work for the model goes here -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Environmental Impact
|
||||
|
||||
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
||||
|
||||
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
||||
|
||||
- **Hardware Type:** [More Information Needed]
|
||||
- **Hours used:** [More Information Needed]
|
||||
- **Cloud Provider:** [More Information Needed]
|
||||
- **Compute Region:** [More Information Needed]
|
||||
- **Carbon Emitted:** [More Information Needed]
|
||||
|
||||
## Technical Specifications [optional]
|
||||
|
||||
### Model Architecture and Objective
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Compute Infrastructure
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Hardware
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Software
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Citation [optional]
|
||||
|
||||
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||
|
||||
**BibTeX:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
**APA:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Glossary [optional]
|
||||
|
||||
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## More Information [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Authors [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Contact
|
||||
|
||||
[More Information Needed]
|
||||
### Framework versions
|
||||
|
||||
- PEFT 0.17.1
|
||||
42
checkpoints/checkpoint-600/adapter_config.json
Normal file
42
checkpoints/checkpoint-600/adapter_config.json
Normal file
@@ -0,0 +1,42 @@
|
||||
{
|
||||
"alpha_pattern": {},
|
||||
"auto_mapping": null,
|
||||
"base_model_name_or_path": "Qwen/Qwen2.5-3B-Instruct",
|
||||
"bias": "none",
|
||||
"corda_config": null,
|
||||
"eva_config": null,
|
||||
"exclude_modules": null,
|
||||
"fan_in_fan_out": false,
|
||||
"inference_mode": true,
|
||||
"init_lora_weights": true,
|
||||
"layer_replication": null,
|
||||
"layers_pattern": null,
|
||||
"layers_to_transform": null,
|
||||
"loftq_config": {},
|
||||
"lora_alpha": 32,
|
||||
"lora_bias": false,
|
||||
"lora_dropout": 0.1,
|
||||
"megatron_config": null,
|
||||
"megatron_core": "megatron.core",
|
||||
"modules_to_save": null,
|
||||
"peft_type": "LORA",
|
||||
"qalora_group_size": 16,
|
||||
"r": 16,
|
||||
"rank_pattern": {},
|
||||
"revision": null,
|
||||
"target_modules": [
|
||||
"k_proj",
|
||||
"up_proj",
|
||||
"o_proj",
|
||||
"down_proj",
|
||||
"gate_proj",
|
||||
"q_proj",
|
||||
"v_proj"
|
||||
],
|
||||
"target_parameters": null,
|
||||
"task_type": "CAUSAL_LM",
|
||||
"trainable_token_indices": null,
|
||||
"use_dora": false,
|
||||
"use_qalora": false,
|
||||
"use_rslora": false
|
||||
}
|
||||
3
checkpoints/checkpoint-600/adapter_model.safetensors
Normal file
3
checkpoints/checkpoint-600/adapter_model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:451807e442b329ccef6d9142b2ba59b3d5103d715ba3fc4bcd421e0cdb8ac09d
|
||||
size 119801528
|
||||
24
checkpoints/checkpoint-600/added_tokens.json
Normal file
24
checkpoints/checkpoint-600/added_tokens.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"</tool_call>": 151658,
|
||||
"<tool_call>": 151657,
|
||||
"<|box_end|>": 151649,
|
||||
"<|box_start|>": 151648,
|
||||
"<|endoftext|>": 151643,
|
||||
"<|file_sep|>": 151664,
|
||||
"<|fim_middle|>": 151660,
|
||||
"<|fim_pad|>": 151662,
|
||||
"<|fim_prefix|>": 151659,
|
||||
"<|fim_suffix|>": 151661,
|
||||
"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644,
|
||||
"<|image_pad|>": 151655,
|
||||
"<|object_ref_end|>": 151647,
|
||||
"<|object_ref_start|>": 151646,
|
||||
"<|quad_end|>": 151651,
|
||||
"<|quad_start|>": 151650,
|
||||
"<|repo_name|>": 151663,
|
||||
"<|video_pad|>": 151656,
|
||||
"<|vision_end|>": 151653,
|
||||
"<|vision_pad|>": 151654,
|
||||
"<|vision_start|>": 151652
|
||||
}
|
||||
54
checkpoints/checkpoint-600/chat_template.jinja
Normal file
54
checkpoints/checkpoint-600/chat_template.jinja
Normal file
@@ -0,0 +1,54 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- messages[0]['content'] }}
|
||||
{%- else %}
|
||||
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
||||
{%- endif %}
|
||||
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
151388
checkpoints/checkpoint-600/merges.txt
Normal file
151388
checkpoints/checkpoint-600/merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
checkpoints/checkpoint-600/optimizer.pt
Normal file
3
checkpoints/checkpoint-600/optimizer.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:1fdd57876e548dea1f10345e022c88303eca2c4d2791670b4d743be708ea1faa
|
||||
size 239900363
|
||||
BIN
checkpoints/checkpoint-600/rng_state.pth
Normal file
BIN
checkpoints/checkpoint-600/rng_state.pth
Normal file
Binary file not shown.
BIN
checkpoints/checkpoint-600/scaler.pt
Normal file
BIN
checkpoints/checkpoint-600/scaler.pt
Normal file
Binary file not shown.
BIN
checkpoints/checkpoint-600/scheduler.pt
Normal file
BIN
checkpoints/checkpoint-600/scheduler.pt
Normal file
Binary file not shown.
31
checkpoints/checkpoint-600/special_tokens_map.json
Normal file
31
checkpoints/checkpoint-600/special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
checkpoints/checkpoint-600/tokenizer.json
Normal file
3
checkpoints/checkpoint-600/tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
207
checkpoints/checkpoint-600/tokenizer_config.json
Normal file
207
checkpoints/checkpoint-600/tokenizer_config.json
Normal file
@@ -0,0 +1,207 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
366
checkpoints/checkpoint-600/trainer_state.json
Normal file
366
checkpoints/checkpoint-600/trainer_state.json
Normal file
@@ -0,0 +1,366 @@
|
||||
{
|
||||
"best_global_step": null,
|
||||
"best_metric": null,
|
||||
"best_model_checkpoint": null,
|
||||
"epoch": 1.5231746031746032,
|
||||
"eval_steps": 300,
|
||||
"global_step": 600,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"entropy": 1.5461102724075317,
|
||||
"epoch": 0.0025396825396825397,
|
||||
"grad_norm": 3.896618366241455,
|
||||
"learning_rate": 0.0,
|
||||
"loss": 2.3711,
|
||||
"mean_token_accuracy": 0.6472751796245575,
|
||||
"num_tokens": 9621.0,
|
||||
"step": 1
|
||||
},
|
||||
{
|
||||
"entropy": 1.581420679233576,
|
||||
"epoch": 0.050793650793650794,
|
||||
"grad_norm": 2.02801251411438,
|
||||
"learning_rate": 9.5e-06,
|
||||
"loss": 1.9565,
|
||||
"mean_token_accuracy": 0.6899475496458379,
|
||||
"num_tokens": 194969.0,
|
||||
"step": 20
|
||||
},
|
||||
{
|
||||
"entropy": 1.8750008303672074,
|
||||
"epoch": 0.10158730158730159,
|
||||
"grad_norm": 0.83933025598526,
|
||||
"learning_rate": 1.95e-05,
|
||||
"loss": 1.4223,
|
||||
"mean_token_accuracy": 0.7304104179143905,
|
||||
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31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
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||||
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|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
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207
tokenizer_config.json
Normal file
207
tokenizer_config.json
Normal file
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||||
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||||
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|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user