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---
license: creativeml-openrail-m
datasets:
- amphora/QwQ-LongCoT-130K
language:
- en
base_model:
- Qwen/Qwen2.5-7B-Instruct
pipeline_tag: text-generation
library_name: transformers
tags:
- Long-CoT
- Qwen2.5
- 7B
- safetensors
- text-generation-inference
- QwQ
- Math
---
### QwQ-LCoT-7B-Instruct Model File
The **QwQ-LCoT-7B-Instruct** is a fine-tuned language model designed for advanced reasoning and instruction-following tasks. It leverages the **Qwen2.5-7B** base model and has been fine-tuned on the **amphora/QwQ-LongCoT-130K** dataset, focusing on chain-of-thought (CoT) reasoning.
| **File Name** | **Size** | **Description** | **Upload Status** |
|----------------------------------------|----------------|-------------------------------------------------|--------------------|
| `.gitattributes` | 1.57 kB | Tracks large files with Git LFS. | Uploaded |
| `README.md` | 273 Bytes | Contains initial documentation, likely minimal. | Updated |
| `added_tokens.json` | 657 Bytes | Maps additional tokens for the tokenizer. | Uploaded |
| `config.json` | 848 Bytes | Model configuration (basic setup). | Uploaded |
| `generation_config.json` | 281 Bytes | Settings for text generation tasks. | Uploaded |
| `merges.txt` | 1.82 MB | Tokenizer merges for byte-pair encoding (BPE). | Uploaded |
| `model-00001-of-00004.safetensors` | 4.88 GB | First part of model weights (split for LFS). | Uploaded (LFS) |
| `model-00002-of-00004.safetensors` | 4.93 GB | Second part of model weights. | Uploaded (LFS) |
| `model-00003-of-00004.safetensors` | 4.33 GB | Third part of model weights. | Uploaded (LFS) |
| `model-00004-of-00004.safetensors` | 1.09 GB | Fourth part of model weights. | Uploaded (LFS) |
| `model.safetensors.index.json` | 29.5 kB | Index file for managing model shards. | Uploaded |
| `special_tokens_map.json` | 644 Bytes | Maps special tokens like `<pad>` or `<eos>`. | Uploaded |
| `tokenizer.json` | 11.4 MB | Pre-trained tokenizer file in JSON format. | Uploaded (LFS) |
| `tokenizer_config.json` | 7.73 kB | Configuration details for the tokenizer. | Uploaded |
| `vocab.json` | 2.78 MB | Tokenizer vocabulary. | Uploaded |
---
### **Key Features:**
1. **Model Size:**
- **7.62B parameters** (FP16 precision).
2. **Model Sharding:**
- The model weights are split into 4 shards (`safetensors`) for efficient storage and download:
- `model-00001-of-00004.safetensors` (4.88 GB)
- `model-00002-of-00004.safetensors` (4.93 GB)
- `model-00003-of-00004.safetensors` (4.33 GB)
- `model-00004-of-00004.safetensors` (1.09 GB)
3. **Tokenizer:**
- Byte-pair encoding (BPE) based.
- Files included:
- `vocab.json` (2.78 MB)
- `merges.txt` (1.82 MB)
- `tokenizer.json` (11.4 MB)
- Special tokens mapped in `special_tokens_map.json` (e.g., `<pad>`, `<eos>`).
4. **Configuration Files:**
- `config.json`: Defines model architecture and hyperparameters.
- `generation_config.json`: Settings for inference and text generation tasks.
---
### **Training Dataset:**
- **Dataset Name:** [amphora/QwQ-LongCoT-130K](https://huggingface.co/amphora/QwQ-LongCoT-130K)
- **Size:** 133k examples.
- **Focus:** Chain-of-Thought reasoning for complex tasks.
---
### **Use Cases:**
1. **Instruction Following:**
Handle user instructions effectively, even for multi-step tasks.
2. **Reasoning Tasks:**
Perform logical reasoning and generate detailed step-by-step solutions.
3. **Text Generation:**
Generate coherent, context-aware responses.
--- |