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