初始化项目，由ModelHub XC社区提供模型
Model: seanpoyner/smolcode-coder-orchestrate-1.5b-tools Source: Original Platform
This commit is contained in:
ModelHub XC
37
.gitattributes
vendored
Normal file
37
.gitattributes
vendored
Normal file
@@ -0,0 +1,37 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
smolcode-coder-orchestrate-1.5b-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
78
README.md
Normal file
78
README.md
Normal file
@@ -0,0 +1,78 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
|
||||
tags:
|
||||
- code
|
||||
- function-calling
|
||||
- tool-use
|
||||
- agent
|
||||
- small-language-model
|
||||
datasets:
|
||||
- NousResearch/hermes-function-calling-v1
|
||||
language:
|
||||
- en
|
||||
pipeline_tag: text-generation
|
||||
---
|
||||
|
||||
# smolcode-coder-1.5b-tools
|
||||
|
||||
A LoRA fine-tune of **Qwen2.5-Coder-1.5B-Instruct** that teaches the model to emit
|
||||
**native `<tool_call>` function calls**, so a 1.5B *coder* model can actually drive an
|
||||
agentic write → run → fix → verify loop.
|
||||
|
||||
Built for [**smolcode**](https://gitea.poyner.ai/sean/smolcode) — an SLM-optimized
|
||||
agentic coding assistant — for the Hugging Face **Build Small** hackathon.
|
||||
|
||||
## Why
|
||||
Out of the box, small Qwen-Coder models describe tool calls as plain-text/```json
|
||||
instead of emitting the native `<tool_call>` token (id 151657) that runtimes (Ollama,
|
||||
llama.cpp) parse into OpenAI-style `tool_calls` — which breaks agentic loops. This
|
||||
fine-tune closes that gap on a tiny (1.5B) model: **100% native `<tool_call>` emission**
|
||||
in free generation on held-out prompts (base model: 0%).
|
||||
|
||||
## Results
|
||||
- **Native tool-call rate:** 100% (16/16 held-out prompts) — the release gate.
|
||||
- **Agentic bench (smolcode pass@1, 10 tasks):** 9/10 as the entry tier of a
|
||||
1.5B→8B→30B ladder, solving **7/10 entirely on its own** (2–16s each). For
|
||||
comparison the all-Granite ladder (3B entry) scores 10/10 — the 1.5B carries the
|
||||
same standalone load as a 2×-larger 3B.
|
||||
- **Train loss:** 0.138 (3 epochs, assistant-only loss).
|
||||
|
||||
## Training
|
||||
- **Base:** Qwen/Qwen2.5-Coder-1.5B-Instruct
|
||||
- **Method:** bf16 LoRA (r=16, α=32) on attention + MLP projections, **plus full
|
||||
training of `embed_tokens` + `lm_head`** (`modules_to_save`) — required so the model
|
||||
can *output* the `<tool_call>` special token, which LoRA on attention/MLP alone
|
||||
cannot. **Assistant-only loss** (loss on tool calls + final answers only).
|
||||
- **Data:** NousResearch/hermes-function-calling-v1 (breadth) + synthetic smolcode
|
||||
tool-use trajectories (sharpness), all rendered through the *same*
|
||||
`apply_chat_template(tools=...)` used at inference — training target is byte-identical
|
||||
to the served prompt (fixes the v1 train/inference template mismatch).
|
||||
- **Schedule:** 3 epochs, full 2048 sequence length. Trained on Modal (A100).
|
||||
|
||||
## Serving — read this, two non-obvious requirements
|
||||
1. **Serve via the GGUF, not the safetensors directly.** Ollama's bf16-safetensors
|
||||
auto-import produces garbage (`??????`) for this model. Use the included
|
||||
`smolcode-1.5b-q4_k_m.gguf` (converted with llama.cpp `convert_hf_to_gguf.py`):
|
||||
```bash
|
||||
ollama create smolcode-coder-1.5b:tools -f Modelfile # Modelfile is in this repo
|
||||
```
|
||||
2. **`repeat_penalty` / `repetition_penalty` MUST be 1.0.** The tool system prompt
|
||||
literally contains the `<tool_call>` token, so any penalty > 1 suppresses the model
|
||||
from emitting it (you'll see a stray token + bare JSON instead). The included
|
||||
`Modelfile` sets `PARAMETER repeat_penalty 1.0`. For raw `transformers.generate`,
|
||||
pass `repetition_penalty=1.0`.
|
||||
|
||||
With those, Ollama's `/v1/chat/completions` returns proper native `tool_calls`.
|
||||
|
||||
## Use (transformers)
|
||||
Standard Qwen2.5 chat template with `tools=`; greedy, `repetition_penalty=1.0`. The
|
||||
model responds with `<tool_call>{"name": ..., "arguments": ...}</tool_call>`.
|
||||
|
||||
## Files
|
||||
- `model.safetensors` + tokenizer/config — the merged model (lm_head untied).
|
||||
- `smolcode-1.5b-q4_k_m.gguf` — quantized GGUF for serving.
|
||||
- `Modelfile` — Ollama import recipe (template + `repeat_penalty 1.0`).
|
||||
|
||||
## License
|
||||
Apache-2.0 (inherits from the base model).
|
||||
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 %}
|
||||
61
config.json
Normal file
61
config.json
Normal file
@@ -0,0 +1,61 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen2ForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 1536,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 8960,
|
||||
"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": 32768,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 12,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 2,
|
||||
"pad_token_id": null,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000.0,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "5.12.0",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
14
generation_config.json
Normal file
14
generation_config.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"repetition_penalty": 1.1,
|
||||
"temperature": 0.7,
|
||||
"top_k": 20,
|
||||
"top_p": 0.8,
|
||||
"transformers_version": "5.12.0"
|
||||
}
|
||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3c78a641ba70308901d00addfb4f7bee39ac8f76481028c4bf22b51d10f62e90
|
||||
size 3554214752
|
||||
3
smolcode-coder-orchestrate-1.5b-q4_k_m.gguf
Normal file
3
smolcode-coder-orchestrate-1.5b-q4_k_m.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4be7ac3ec2a00c9e236d3e09d15b075d8ef732c57c1a4d80da49a093ade6c072
|
||||
size 1117321536
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
||||
size 11421892
|
||||
30
tokenizer_config.json
Normal file
30
tokenizer_config.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_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|>"
|
||||
],
|
||||
"is_local": false,
|
||||
"local_files_only": false,
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
Reference in New Issue
Block a user