初始化项目，由ModelHub XC社区提供模型
Model: eagle0504/qwen-2_5-1_5b-instruct-using-codealpaca-20k-enhanced-v1 Source: Original Platform
This commit is contained in:
ModelHub XC
40
.gitattributes
vendored
Normal file
40
.gitattributes
vendored
Normal file
@@ -0,0 +1,40 @@
|
||||
*.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
|
||||
unsloth.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
unsloth.F16.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
unsloth.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
unsloth.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
197
README.md
Normal file
197
README.md
Normal file
@@ -0,0 +1,197 @@
|
||||
---
|
||||
library_name: transformers
|
||||
tags:
|
||||
- unsloth
|
||||
- trl
|
||||
- grpo
|
||||
license: mit
|
||||
datasets:
|
||||
- eagle0504/augmented_codealpaca-20k-using-together-ai-deepseek-v1
|
||||
language:
|
||||
- en
|
||||
base_model:
|
||||
- Qwen/Qwen2.5-1.5B-Instruct
|
||||
---
|
||||
|
||||
# Qwen2.5-1.5B-Instruct Fine-Tuned on CodeAlpaca-20K with DeepSeek Augmentation
|
||||
|
||||
## Model Overview
|
||||
|
||||
This model is a fine-tuned version of **Qwen2.5-1.5B-Instruct**, designed for **instruction-following and structured reasoning**. It is trained on an **enhanced CodeAlpaca-20K dataset**, incorporating **Chain-of-Thought (CoT) reasoning** augmented by **DeepSeek AI**.
|
||||
|
||||
### Key Features
|
||||
- **Base Model:** Qwen2.5-1.5B-Instruct
|
||||
- **Fine-Tuned On:** CodeAlpaca-20K enhanced with DeepSeek-V3
|
||||
- **Optimized for:** Instruction-following, structured reasoning, and problem-solving
|
||||
- **Fine-tuning method:** LoRA (Low-Rank Adaptation)
|
||||
- **Inference-ready:** Available on **Hugging Face** and compatible with `llama.cpp`
|
||||
- **Supports GGUF:** Optimized versions for **Q4_K_M, Q8_0, Q5_K_M, and FP16**
|
||||
|
||||
## Model Details
|
||||
|
||||
- **Developed by:** [Yiqiao Yin](https://www.y-yin.io/)
|
||||
- **Model Type:** Causal Language Model (Text Generation)
|
||||
- **Languages:** English (`en`)
|
||||
- **License:** MIT License
|
||||
- **Fine-tuned from:** `Qwen/Qwen2.5-1.5B-Instruct`
|
||||
- **Training Library:** `transformers` + `unsloth` + `trl`
|
||||
- **Quantization:** GGUF (`Q4_K_M, Q8_0, Q5_K_M, f16`)
|
||||
|
||||
🔗 **Hugging Face Repository:**
|
||||
👉 [Fine-tuned Qwen2.5-1.5B-Instruct](https://huggingface.co/eagle0504/qwen-2_5-1_5b-instruct-using-codealpaca-20k-enhanced-v1)
|
||||
|
||||
## How to Use the Model
|
||||
|
||||
### Using `transformers` in Python
|
||||
You may need to install `bitsandbytes` by using
|
||||
|
||||
```bash
|
||||
! pip install -U bitsandbytes
|
||||
```
|
||||
|
||||
Then you can use the following code to run inference.
|
||||
```python
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||
import torch
|
||||
|
||||
# Load model and tokenizer
|
||||
model_name = "eagle0504/qwen-2_5-1_5b-instruct-using-codealpaca-20k-enhanced-v1"
|
||||
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
||||
model = AutoModelForCausalLM.from_pretrained(model_name)
|
||||
|
||||
# Move model to GPU if available
|
||||
device = "cuda" if torch.cuda.is_available() else "cpu"
|
||||
model.to(device)
|
||||
|
||||
# Example inference
|
||||
question = "How do I implement a binary search algorithm in Python?"
|
||||
inputs = tokenizer(question, return_tensors="pt").to(device)
|
||||
output = model.generate(**inputs, max_length=200)
|
||||
|
||||
# Decode response
|
||||
print(tokenizer.decode(output[0], skip_special_tokens=True))
|
||||
```
|
||||
|
||||
## Running the Model with `llama.cpp`
|
||||
|
||||
### Step 1: Install `llama.cpp`
|
||||
```sh
|
||||
brew install llama.cpp
|
||||
```
|
||||
|
||||
### Step 2: Download the Model
|
||||
```sh
|
||||
mkdir -p ~/llama_models && cd ~/llama_models
|
||||
wget https://huggingface.co/eagle0504/qwen-2_5-1_5b-instruct-using-codealpaca-20k-enhanced-v1/resolve/main/q8_0.gguf
|
||||
```
|
||||
|
||||
### Step 3: Run the Model
|
||||
```sh
|
||||
llama-cli -m ~/llama_models/q8_0.gguf --interactive
|
||||
```
|
||||
|
||||
Or you can use the following:
|
||||
|
||||
```sh
|
||||
llama-cli -hf eagle0504/qwen-2_5-1_5b-instruct-using-codealpaca-20k-enhanced-v1:Q8_0
|
||||
```
|
||||
|
||||
### Step 4: Test with a Prompt
|
||||
```sh
|
||||
llama-cli -m ~/llama_models/q8_0.gguf -p "Explain the differences between breadth-first search and depth-first search."
|
||||
```
|
||||
|
||||
## Training Details
|
||||
|
||||
### Custom Reward
|
||||
|
||||
```python
|
||||
def count_xml(text: str) -> float:
|
||||
"""
|
||||
Calculates a reward based on the occurrence of certain XML tags and subtracts penalties for content after closing tags.
|
||||
|
||||
Args:
|
||||
text (str): The text string to analyze for XML tag consistency.
|
||||
|
||||
Returns:
|
||||
float: Total reward score based on XML tag occurrence and penalties.
|
||||
"""
|
||||
count = 0.0
|
||||
if text.count("<think>\n") == 1:
|
||||
count += 0.125
|
||||
if text.count("\n</think>\n") == 1:
|
||||
count += 0.125
|
||||
if text.count("\n<answer>\n") == 1:
|
||||
count += 0.125
|
||||
count -= len(text.split("\n</answer>\n")[-1])*0.001
|
||||
if text.count("\n</answer>") == 1:
|
||||
count += 0.125
|
||||
count -= (len(text.split("\n</answer>")[-1]) - 1)*0.001
|
||||
|
||||
# Ensure `<think>` and `</think>` exist
|
||||
if "<think>" in text and "</think>" in text:
|
||||
count += 1.0 # Higher weight to ensure reasoning consistency
|
||||
else:
|
||||
count -= 1.0 # Penalize if missing
|
||||
|
||||
return count
|
||||
```
|
||||
|
||||
Each component contributes to the total reward **if conditions are met**:
|
||||
|
||||
| Condition | Reward |
|
||||
|-----------|--------|
|
||||
| `"<think>\n"` appears exactly **once** | **+0.125** |
|
||||
| `"\n</think>\n"` appears exactly **once** | **+0.125** |
|
||||
| `"\n<answer>\n"` appears exactly **once** | **+0.125** |
|
||||
| `"\n</answer>"` appears exactly **once** | **+0.125** |
|
||||
| Both `<think>` and `</think>` exist anywhere | **+1.0** |
|
||||
| No extra text after `"</answer>"` | **No penalty** |
|
||||
|
||||
Total possible reward **before penalties**:
|
||||
\[
|
||||
0.125 + 0.125 + 0.125 + 0.125 + 1.0 = 1.5
|
||||
\]
|
||||
|
||||
**Potential Penalties**
|
||||
The function applies penalties for **extra content after `"</answer>"`**:
|
||||
\[
|
||||
-\left( \text{length of extra text} \times 0.001 \right)
|
||||
\]
|
||||
If the **best case** occurs (i.e., **no extra content**), then:
|
||||
- **Penalty = 0**
|
||||
- **Final Reward = 1.5 (no deductions)**
|
||||
|
||||
---
|
||||
|
||||
**Best Possible Input Example**
|
||||
This **ideal input** gives the highest possible reward:
|
||||
|
||||
```xml
|
||||
<think>
|
||||
Valid reasoning goes here.
|
||||
</think>
|
||||
|
||||
<answer>
|
||||
Correct final answer here.
|
||||
</answer>
|
||||
```
|
||||
|
||||
This means we customize the reward function so that we encourage the answer to have reasoning inside. We also know mathematically what the reward should be so we can monitor it during training process.
|
||||
|
||||
### Dataset Used
|
||||
The model was fine-tuned on:
|
||||
🔹 [`eagle0504/augmented_codealpaca-20k-using-together-ai-deepseek-v1`](https://huggingface.co/datasets/eagle0504/augmented_codealpaca-20k-using-together-ai-deepseek-v1)
|
||||
|
||||
This dataset contains:
|
||||
- **20K augmented training samples**
|
||||
- Features: `instruction`, `response`, `cot` (Chain-of-Thought)
|
||||
|
||||
### Training Configuration
|
||||
- **Framework:** `transformers` + `unsloth` + `trl`
|
||||
- **Optimization:** LoRA applied to QKV projections
|
||||
- **Learning Rate:** `1e-6`
|
||||
- **AdamW Optimizer (8-bit)**
|
||||
- **Mixed Precision (`bf16` or `fp16`)**
|
||||
- **Batch Size:** `8`
|
||||
- **Max Sequence Length:** `1024`
|
||||
37
adapter_config.json
Normal file
37
adapter_config.json
Normal file
@@ -0,0 +1,37 @@
|
||||
{
|
||||
"alpha_pattern": {},
|
||||
"auto_mapping": null,
|
||||
"base_model_name_or_path": "unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit",
|
||||
"bias": "none",
|
||||
"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,
|
||||
"megatron_config": null,
|
||||
"megatron_core": "megatron.core",
|
||||
"modules_to_save": null,
|
||||
"peft_type": "LORA",
|
||||
"r": 32,
|
||||
"rank_pattern": {},
|
||||
"revision": null,
|
||||
"target_modules": [
|
||||
"o_proj",
|
||||
"down_proj",
|
||||
"v_proj",
|
||||
"gate_proj",
|
||||
"q_proj",
|
||||
"up_proj",
|
||||
"k_proj"
|
||||
],
|
||||
"task_type": "CAUSAL_LM",
|
||||
"use_dora": false,
|
||||
"use_rslora": false
|
||||
}
|
||||
3
adapter_model.safetensors
Normal file
3
adapter_model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3e889b19379b16729790bef95902dc516ca99488c86c15f1fd17057802fbe5ff
|
||||
size 147770496
|
||||
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
|
||||
}
|
||||
3
config.json
Normal file
3
config.json
Normal file
@@ -0,0 +1,3 @@
|
||||
{
|
||||
"model_type": "qwen2"
|
||||
}
|
||||
7
generation_config.json
Normal file
7
generation_config.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"eos_token_id": 151645,
|
||||
"max_length": 32768,
|
||||
"pad_token_id": 0,
|
||||
"transformers_version": "4.48.3"
|
||||
}
|
||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:705a4caab899c15e39ae85d9a62c2b70bfb402c76554482c3d3ba116b96c8805
|
||||
size 3087466808
|
||||
31
special_tokens_map.json
Normal file
31
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": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:64e71213db910f5cafa86d35091f37393dcc344b1bbc34091d1b3eed4cca01d5
|
||||
size 11422064
|
||||
209
tokenizer_config.json
Normal file
209
tokenizer_config.json
Normal file
@@ -0,0 +1,209 @@
|
||||
{
|
||||
"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,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|vision_pad|>",
|
||||
"padding_side": "left",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
3
unsloth.F16.gguf
Normal file
3
unsloth.F16.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b3a13626d9d49c90f5a9b6d5679448c6375934889bb5d9909861afed11d989a7
|
||||
size 3093668928
|
||||
3
unsloth.Q4_K_M.gguf
Normal file
3
unsloth.Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d3f2f97d4ef254def1a8dd13c9eded89b4555a0c7519b361bff5e48a6bb55606
|
||||
size 986048064
|
||||
3
unsloth.Q5_K_M.gguf
Normal file
3
unsloth.Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e3ddaba2d422ddd7552231cfe3befd613863f56cc37cd5ea072a22ca8f28d412
|
||||
size 1125049920
|
||||
3
unsloth.Q8_0.gguf
Normal file
3
unsloth.Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6942c9b946de7622858544c42efe96a4374a6ace7e1fab99c07f0e8cab218bbb
|
||||
size 1646572608
|
||||
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