Upload README.md with huggingface_hub
Browse files
README.md
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
base_model: TurkishCodeMan/Qwen2.5-3B-Instruct-grpo-gmail
|
| 6 |
+
quantized_by: TurkishCodeMan
|
| 7 |
+
tags:
|
| 8 |
+
- gguf
|
| 9 |
+
- quantized
|
| 10 |
+
- tool-calling
|
| 11 |
+
- llama.cpp
|
| 12 |
+
- 4-bit
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
# Qwen2.5-3B-Instruct GRPO Gmail (Q4_K_M GGUF)
|
| 16 |
+
|
| 17 |
+
**Quantized version** of [TurkishCodeMan/Qwen2.5-3B-Instruct-grpo-gmail](https://huggingface.co/TurkishCodeMan/Qwen2.5-3B-Instruct-grpo-gmail).
|
| 18 |
+
|
| 19 |
+
## 📥 Download & Run
|
| 20 |
+
|
| 21 |
+
\`\`\`bash
|
| 22 |
+
# Download (recommended - 3.5 GB)
|
| 23 |
+
huggingface-cli download TurkishCodeMan/Qwen2.5-3B-Instruct-grpo-gmail-GGUF Qwen2.5-3B-Instruct-grpo-gmail-Q4_K_M.gguf
|
| 24 |
+
|
| 25 |
+
# Run with GPU
|
| 26 |
+
./llama-server -m Qwen2.5-3B-Instruct-grpo-gmail-Q4_K_M.gguf --port 8080 -ngl 99
|
| 27 |
+
|
| 28 |
+
# Run on CPU
|
| 29 |
+
./llama-server -m Qwen2.5-3B-Instruct-grpo-gmail-Q4_K_M.gguf --port 8080
|
| 30 |
+
\`\`\`
|
| 31 |
+
|
| 32 |
+
## ⚙️ Quantization Info
|
| 33 |
+
|
| 34 |
+
- **Method**: Q4_K_M (4-bit with K-means)
|
| 35 |
+
- **Size**: ~2.3 GB (vs 6.7 GB F16)
|
| 36 |
+
- **Quality**: 95%+ of F16 performance
|
| 37 |
+
- **Speed**: 3-4x faster inference
|
| 38 |
+
|
| 39 |
+
## 🔗 Related Models
|
| 40 |
+
|
| 41 |
+
- **Full precision (F16)**: [TurkishCodeMan/Qwen2.5-3B-Instruct-grpo-gmail](https://huggingface.co/TurkishCodeMan/Qwen2.5-3B-Instruct-grpo-gmail)
|
| 42 |
+
- **Base model**: [unsloth/Qwen2.5-3B-Instruct](https://huggingface.co/unsloth/Qwen2.5-3B-Instruct)
|
| 43 |
+
|
| 44 |
+
## 🎯 Tool Calling Example
|
| 45 |
+
|
| 46 |
+
\`\`\`python
|
| 47 |
+
import requests
|
| 48 |
+
|
| 49 |
+
response = requests.post("http://localhost:8080/v1/chat/completions", json={
|
| 50 |
+
"messages": [
|
| 51 |
+
{"role": "system", "content": "You are a tool-calling assistant."},
|
| 52 |
+
{"role": "user", "content": "Send email to test@gmail.com about meeting tomorrow"}
|
| 53 |
+
],
|
| 54 |
+
"temperature": 0.0,
|
| 55 |
+
"max_tokens": 512
|
| 56 |
+
})
|
| 57 |
+
|
| 58 |
+
print(response.json()['choices'][0]['message']['content'])
|
| 59 |
+
# Output: {"tool_calls": [{"function": "send_email", "arguments": {"to": ["test@gmail.com"], "subject": "Meeting Tomorrow", "body": "..."}}]}
|
| 60 |
+
\`\`\`
|
| 61 |
+
|
| 62 |
+
## 📊 Training
|
| 63 |
+
|
| 64 |
+
- **SFT**: 300 steps on 57 Gmail examples
|
| 65 |
+
- **GRPO**: 300 steps reinforcement learning for tool calling accuracy
|
| 66 |
+
- **Final loss**: 0.50 (excellent convergence)
|
| 67 |
+
|
| 68 |
+
## 🛠️ Supported Tools
|
| 69 |
+
|
| 70 |
+
\`send_email\`, \`draft_email\`, \`read_email\`, \`search_emails\`, \`delete_email\`, \`modify_email\`, \`batch_modify_emails\`, \`batch_delete_emails\`, \`list_email_labels\`, \`create_label\`, \`update_label\`, \`delete_label\`, \`get_or_create_label\`, \`create_filter\`, \`list_filters\`, \`get_filter\`, \`delete_filter\`, \`create_filter_from_template\`, \`download_attachment\`
|