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Model: kaushalkrishnax/auroic-router-0.6b Source: Original Platform
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gguf/auroic-router-0.6b.q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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FROM ./auroic-router-0.6b.q8_0.gguf
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SYSTEM """You are the Auroic Router. Given 5 chat messages, output exactly one routing decision in this format: R: TYPE=<text|media|react|acknowledge|translate|ignore> | TARGET=<M1|M2|M3|M4|M5|null> | EFFORT=<low|medium|high|null> | TITLE=<canonical_title>"""
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TEMPLATE """<|im_start|>system
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{{ .System }}<|im_end|>
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<|im_start|>user
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{{ .Prompt }} /think<|im_end|>
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<|im_start|>assistant
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"""
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PARAMETER temperature 0.6
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PARAMETER top_p 0.95
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PARAMETER top_k 20
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PARAMETER repeat_penalty 1.1
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PARAMETER num_predict 60
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PARAMETER stop "<|im_end|>"
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PARAMETER stop "<|im_start|>"
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README.md
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README.md
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---
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base_model: unsloth/Qwen3-0.6B
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- router
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- intent-classification
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- hinglish
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- hindi
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- qwen
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- qwen3
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- unsloth
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- gguf
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- ollama
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- edge
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- thinking
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license: apache-2.0
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language:
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- en
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- hi
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---
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# Auroic Router 0.6B
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A compact, edge-deployable group chat routing model fine-tuned on Qwen3-0.6B. Given a 5-message history window and up to 3 unprocessed candidate messages, it outputs a single structured routing decision in under 4 seconds on CPU — no response generation, pure intent classification.
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Part of the [Auroic](https://github.com/kaushalkrishnax/auroic) project — a personal AI assistant for Indian group and personal chats.
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---
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## What it does
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The router sits at the front of a conversational AI pipeline. It reads the recent chat context and decides what action to take next — so downstream models only activate when actually needed.
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```
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H1: bhai sun
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H2: kya hua bata
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H3: okay
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H4: arre
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H5: haan bol
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C1: ...
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C2: ...
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C3: bhai parents divorce ho raha hai adjust karna mushkil hai kya karoon
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→ R: TYPE=text | TARGET=C3 | EFFORT=high
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```
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---
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## Output Format
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```
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R: TYPE=text | TARGET=C2 | EFFORT=low|medium|high
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R: TYPE=react | TARGET=C1 | TITLE=🔥
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R: TYPE=media | TARGET=C3 | TITLE=rain cozy vibes
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R: TYPE=ignore
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```
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| Type | When | Fields |
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|------|------|--------|
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| `text` | Help request, advice, emotional support, technical question | `EFFORT=low/medium/high` |
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| `react` | Notable moment deserving an emoji reaction | `TITLE=<emoji>` |
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| `media` | Situation implying a gif, meme, or sticker | `TITLE=<2-3 word search query>` |
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| `ignore` | Pure noise, spam, keyboard smash, laughter chains | none |
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---
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## Input Format
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```
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H1: <message> ← oldest processed message
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H2: <message>
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H3: <message>
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H4: <message>
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H5: <message> ← most recent processed message
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C1: <message> ← unprocessed candidate (use ... for filler)
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C2: <message>
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C3: <message> ← newest unprocessed candidate
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```
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Always provide exactly 5 history messages and 3 candidates. Use `...` for empty slots — never omit them.
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---
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## Quickstart — Ollama
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```bash
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ollama create auroic-router-0.6b -f Modelfile
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ollama run auroic-router-0.6b
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```
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**Important — the router is stateless.** Every call must be a fresh context with no conversation history. In the Ollama CLI use `/clear` between calls. In production call the API directly:
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```python
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response = client.chat.completions.create(
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model="auroic-router-0.6b",
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messages=[
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{"role": "system", "content": "You are the Auroic Router. Given history messages H1-H5 and candidate messages C1-C3, output exactly one routing decision."},
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{"role": "user", "content": formatted_window} # fresh window every call
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],
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)
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```
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---
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## Real Inference Examples
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```
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INPUT:
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H1: lol H2: 😂😂 H3: haha H4: 💀 H5: ded
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C1: hahaha C2: 😭😭 C3: ...
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OUTPUT: R: TYPE=ignore
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```
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```
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INPUT:
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H1: sahi hai H2: haan bhai H3: okay H4: chal H5: theek hai
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C1: ...
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C2: bhai salary negotiate kaise karoon first time offer mein help
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C3: ...
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OUTPUT: R: TYPE=text | TARGET=C2 | EFFORT=medium
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```
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```
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INPUT:
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H1: bhai hungry hun H2: same yaar H3: kuch khate hain H4: haan H5: chal
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C1: ... C2: ...
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C3: bhai biryani ki yaad aa rahi hai mummy wali ghar ki bahut miss kar raha
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OUTPUT: R: TYPE=media | TARGET=C3 | TITLE=biryani craving
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```
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```
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INPUT:
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H1: haha H2: bhai sach mein H3: lol H4: no way H5: 💀
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C1: ...
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C2: teacher ne galti se apna tiktok projector pe chala diya class mein
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C3: ...
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OUTPUT: R: TYPE=media | TARGET=C2 | TITLE=tiktok projector fail
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```
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```
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INPUT:
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H1: bhai sun H2: haan H3: bata H4: okay H5: hmm
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C1: ...
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C2: @BOT yaar dost ne 3 baje uthke help kiya exam ke liye true friendship hai
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C3: ...
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OUTPUT: R: TYPE=react | TARGET=C2 | TITLE=❤
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```
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---
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## Thinking Mode
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The model uses Qwen3's native thinking capability. For ambiguous inputs it reasons through the context before deciding:
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```
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<think>
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H1-H5 are casual affirmations. C2 asks 'salary negotiate kaise karoon first time' —
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clear, actionable life advice needed. Text with medium effort because it requires
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step-by-step guidance, not just emojis or media.
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</think>
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R: TYPE=text | TARGET=C2 | EFFORT=medium
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```
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For obvious cases (clear ignore, clear media) it skips thinking entirely and outputs the decision directly — keeping latency low where reasoning isn't needed.
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**Thinking enabled (default):** better accuracy on ambiguous cases, ~3-4s on CPU
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**Thinking disabled:** faster, minor accuracy drop on edge cases
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To disable thinking add this to your Modelfile template:
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```
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<|im_start|>assistant
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<think>
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</think>
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```
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---
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## Recommended Inference Settings
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```
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temperature 0.3 (deterministic routing)
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top_p 0.95
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top_k 20
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repeat_penalty 1.1
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```
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---
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## Model Details
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| Property | Value |
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|----------|-------|
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| Base model | unsloth/Qwen3-0.6B |
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| Total parameters | 616M |
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| Trainable parameters | 20.2M (3.28%) |
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| Fine-tuning framework | Unsloth + TRL SFTTrainer |
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| LoRA rank | r=32, alpha=32 |
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| Target modules | q/k/v/o/gate/up/down proj |
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| Epochs | 2 |
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| Effective batch size | 16 (batch=2, grad_accum=8) |
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| Learning rate | 2e-4 cosine |
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| Max sequence length | 2048 |
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| Training samples | 9,300 |
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| Final training loss | 0.667 |
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| Quantization | Q8_0 GGUF |
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| Hardware trained on | NVIDIA T4 16GB (Google Colab) |
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| Training time | ~44 minutes |
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---
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## Dataset — v4
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9,300 samples of Indian group chat routing scenarios:
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| Split | Count |
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|-------|-------|
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| Normal windows | 7,000 |
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| @BOT mention windows | 1,500 |
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| Filler/sparse windows | 800 |
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| Type | Count | % |
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|------|-------|---|
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| text | 4,042 | 43.5% |
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| ignore | 1,942 | 20.9% |
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| react | 1,688 | 18.2% |
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| media | 1,628 | 17.5% |
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Language distribution: 58.8% Hinglish, 23% English, 18.2% mixed
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Think blocks annotated by `qwen/qwen3-next-80b-a3b-instruct` on NVIDIA NIM — hard tier (39.3%) gets full reasoning, medium tier (32.8%) gets short reasoning, easy tier (27.8%) gets no think block.
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Dataset and generation pipeline: [github.com/kaushalkrishnax/auroic-router](https://github.com/kaushalkrishnax/auroic-router)
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---
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## Performance
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| Metric | Value |
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|--------|-------|
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| Warm inference (CPU) | ~2-3 seconds |
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| Cold start | ~5 seconds |
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| Hardware tested | Intel i3-6100U 2.3GHz, 12GB DDR4 |
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| Format compliance | 100% on test set |
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---
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## Known Limitations
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- Optimized for Hinglish and Indian English group chat patterns
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- Stateless by design — do not pass conversation history between calls
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- Not designed for factual QA, coding assistance, or long-form generation
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---
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## License
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Apache-2.0 — inherits from Qwen3 base model.
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---
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## Author
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**Kaushal Krishna**
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- GitHub: [kaushalkrishnax](https://github.com/kaushalkrishnax)
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- Project: [github.com/kaushalkrishnax/auroic](https://github.com/kaushalkrishnax/auroic)
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- Router research: [github.com/kaushalkrishnax/auroic-router](https://github.com/kaushalkrishnax/auroic-router)
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99
chat_template.jinja
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99
chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for forward_message in messages %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- set message = messages[index] %}
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{%- set current_content = message.content if message.content is defined and message.content is not none else '' %}
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{%- set tool_start = '<tool_response>' %}
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{%- set tool_start_length = tool_start|length %}
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{%- set start_of_message = current_content[:tool_start_length] %}
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{%- set tool_end = '</tool_response>' %}
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{%- set tool_end_length = tool_end|length %}
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{%- set start_pos = (current_content|length) - tool_end_length %}
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{%- if start_pos < 0 %}
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{%- set start_pos = 0 %}
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{%- endif %}
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{%- set end_of_message = current_content[start_pos:] %}
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{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set m_content = message.content if message.content is defined and message.content is not none else '' %}
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{%- set content = m_content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in m_content %}
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{%- set content = (m_content.split('</think>')|last).lstrip('\n') %}
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{%- set reasoning_content = (m_content.split('</think>')|first).rstrip('\n') %}
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{%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and (not reasoning_content.strip() == '')) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
|
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{%- if message.tool_calls %}
|
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
|
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{{- '\n' }}
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{%- endif %}
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||||
{%- if tool_call.function %}
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||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first 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' }}
|
||||
{%- if enable_thinking is defined and enable_thinking is false %}
|
||||
{{- '<think>\n\n</think>\n\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
64
config.json
Normal file
64
config.json
Normal file
@@ -0,0 +1,64 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": null,
|
||||
"torch_dtype": "float16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 1024,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 3072,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 16,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151669,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"unsloth_fixed": true,
|
||||
"unsloth_version": "2026.3.4",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
7000
dataset/dataset_v3.jsonl
Normal file
7000
dataset/dataset_v3.jsonl
Normal file
File diff suppressed because it is too large
Load Diff
9300
dataset/dataset_v4_training.jsonl
Normal file
9300
dataset/dataset_v4_training.jsonl
Normal file
File diff suppressed because it is too large
Load Diff
17
gguf/Modelfile
Normal file
17
gguf/Modelfile
Normal file
@@ -0,0 +1,17 @@
|
||||
FROM ./auroic-router-0.6b.q8_0.gguf
|
||||
|
||||
SYSTEM """You are the Auroic Router. Given history messages H1-H5 and candidate messages C1-C3, output exactly one routing decision."""
|
||||
|
||||
TEMPLATE """<|im_start|>system
|
||||
{{ .System }}<|im_end|>
|
||||
<|im_start|>user
|
||||
{{ .Prompt }}<|im_end|>
|
||||
<|im_start|>assistant
|
||||
"""
|
||||
|
||||
PARAMETER temperature 0.3
|
||||
PARAMETER top_p 0.95
|
||||
PARAMETER top_k 20
|
||||
PARAMETER repeat_penalty 1.1
|
||||
PARAMETER stop "<|im_end|>"
|
||||
PARAMETER stop "<|im_start|>"
|
||||
3
gguf/auroic-router-0.6b.f16.gguf
Normal file
3
gguf/auroic-router-0.6b.f16.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e2f1642a67d842ce982e6c5c436f49e6462e3f127d2ff6bd54ef0a7ae0736f60
|
||||
size 1198182656
|
||||
3
gguf/auroic-router-0.6b.q2_k.gguf
Normal file
3
gguf/auroic-router-0.6b.q2_k.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:1cf18ac27f41cfd4d6642f15ee98da7b79152d11165d0ed856fcc8b1af2c0418
|
||||
size 296238336
|
||||
3
gguf/auroic-router-0.6b.q3_k_m.gguf
Normal file
3
gguf/auroic-router-0.6b.q3_k_m.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9e9ee644201c3c7556562034091408bbca0883406967662a79091c82b09ed30a
|
||||
size 347127040
|
||||
3
gguf/auroic-router-0.6b.q4_0.gguf
Normal file
3
gguf/auroic-router-0.6b.q4_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c4e4c1b05d47d8242122d5f6f5e1f8a1f417d97536150e7c0aaf6ff3673d2150
|
||||
size 381566208
|
||||
3
gguf/auroic-router-0.6b.q4_k_m.gguf
Normal file
3
gguf/auroic-router-0.6b.q4_k_m.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:8461176ecad96d92e4fb6144d4727d17017a8f28af16bba1aedcee9163ae16f8
|
||||
size 396705024
|
||||
3
gguf/auroic-router-0.6b.q5_0.gguf
Normal file
3
gguf/auroic-router-0.6b.q5_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:856cb5f3b59fda46758e9bc5724e985cb8e83c29e0ad83334c28d2e4ff6b8c03
|
||||
size 436616448
|
||||
3
gguf/auroic-router-0.6b.q5_k_m.gguf
Normal file
3
gguf/auroic-router-0.6b.q5_k_m.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f72ac0683c01a18e7c63f0a96392b584a7c8739652348f1d5208e53fe23d5378
|
||||
size 444415232
|
||||
3
gguf/auroic-router-0.6b.q6_k.gguf
Normal file
3
gguf/auroic-router-0.6b.q6_k.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:aba808917fef95211a376e0cceb3e359eee71d4fc18d1cfd86f55cd4ff4a124a
|
||||
size 495107328
|
||||
3
gguf/auroic-router-0.6b.q8_0.gguf
Normal file
3
gguf/auroic-router-0.6b.q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:09c13d89d116464cab3c91839e1c6ef3e9c5a243513017a3b288254daeb1962c
|
||||
size 639447296
|
||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:14ff9998f06cbb33edb9f1c8f1c8ecec0442f47e080eb0aa406d9ec0dbe1924a
|
||||
size 1192135096
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d7430e9138b76e93fb6f93462394d236b411111aef53cb421ba97d2691040cca
|
||||
size 11423114
|
||||
16
tokenizer_config.json
Normal file
16
tokenizer_config.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user