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Model: prithivMLmods/QwQ-LCoT-3B-Instruct
Source: Original Platform

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README.md

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+---
+license: creativeml-openrail-m
+datasets:
+- amphora/QwQ-LongCoT-130K
+language:
+- en
+base_model:
+- Qwen/Qwen2.5-3B-Instruct
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation-inference
+- long-CoT
+- safetensors
+- 3B
+- Instruct
+- QwQ
+- Qwen2.5
+---
+### **QwQ-LCoT-3B-Instruct Model Card**
+
+The **QwQ-LCoT-3B-Instruct** model is a lightweight, instruction-tuned language model designed for complex reasoning and explanation tasks. It is fine-tuned on the **Qwen2.5-3B-Instruct** base model using the **QwQ-LongCoT-130K** dataset, focusing on **long-chain-of-thought (LCoT)** reasoning for enhanced logical comprehension and detailed output generation.
+
+| **File Name**                         | **Size**       | **Description**                                  | **Upload Status**  |
+|----------------------------------------|----------------|-------------------------------------------------|--------------------|
+| `.gitattributes`                       | 1.57 kB        | Specifies LFS tracking for large files.         | Uploaded           |
+| `README.md`                            | 267 Bytes      | Basic project information file.                 | Updated            |
+| `added_tokens.json`                    | 657 Bytes      | Custom tokens added to the tokenizer.           | Uploaded           |
+| `config.json`                          | 859 Bytes      | Configuration file for the model.               | Uploaded           |
+| `generation_config.json`               | 281 Bytes      | Configuration file for text generation settings.| Uploaded           |
+| `merges.txt`                           | 1.82 MB        | Contains the byte-pair encoding (BPE) merges.   | Uploaded           |
+| `pytorch_model-00001-of-00002.bin`     | 4.96 GB        | First shard of the model weights in PyTorch format. | Uploaded (LFS)     |
+| `pytorch_model-00002-of-00002.bin`     | 1.21 GB        | Second shard of the model weights in PyTorch format. | Uploaded (LFS)     |
+| `pytorch_model.bin.index.json`         | 36 kB          | Index mapping for sharded model weights.        | Uploaded           |
+| `special_tokens_map.json`              | 644 Bytes      | Maps special tokens to their roles.             | Uploaded           |
+| `tokenizer.json`                       | 11.4 MB        | Serialized tokenizer data.                      | Uploaded (LFS)     |
+| `tokenizer_config.json`                | 7.73 kB        | Tokenizer configuration settings.               | Uploaded           |
+| `vocab.json`                           | 2.78 MB        | Vocabulary file for the tokenizer.              | Uploaded           |
+
+### **Sample Long CoT:**
+
+![Screenshot 2024-12-13 211732.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/Mgm9LmQZlFZmglKYwEDYA.png)
+
+### **Key Features:**
+
+1. **Long Chain-of-Thought Reasoning:**  
+   - Specifically designed to generate comprehensive, step-by-step explanations for complex queries.
+
+2. **Lightweight and Efficient:**  
+   - With only 3 billion parameters, it is optimized for systems with limited computational resources without compromising reasoning capabilities.
+
+3. **Instruction Optimization:**  
+   - Fine-tuned to follow prompts and provide concise, actionable, and structured responses.
+
+---
+
+### **Training Details:**
+
+- **Base Model:** [Qwen2.5-3B-Instruct](#)  
+- **Dataset:** [amphora/QwQ-LongCoT-130K](#)  
+  - Comprising 133,000 annotated samples focusing on logical tasks and structured thinking.
+---
+
+### **Capabilities:**
+
+1. **Text Generation:**  
+   - Provides detailed, structured, and logical text outputs tailored to user prompts.
+
+2. **Reasoning Tasks:**  
+   - Solves step-by-step problems in math, logic, and science.
+
+3. **Educational Assistance:**  
+   - Generates coherent explanations for academic and research purposes.
+
+4. **Dialogue and Summarization:**  
+   - Handles conversational queries and summarizes long documents effectively.
+
+---
+
+### **Usage Instructions:**
+
+1. **Setup:**
+   Download all model files and ensure compatibility with the Hugging Face Transformers library.
+
+2. **Loading the Model:**
+   ```python
+   from transformers import AutoModelForCausalLM, AutoTokenizer
+   
+   model_name = "prithivMLmods/QwQ-LCoT-3B-Instruct"
+   tokenizer = AutoTokenizer.from_pretrained(model_name)
+   model = AutoModelForCausalLM.from_pretrained(model_name)
+   ```
+
+3. **Generate Long-Chain Reasoning Outputs:**
+   ```python
+   input_text = "Explain the process of photosynthesis step-by-step."
+   inputs = tokenizer(input_text, return_tensors="pt")
+   outputs = model.generate(**inputs, max_length=300, temperature=0.5)
+   print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+   ```
+
+4. **Customize Output Generation:**  
+   Modify the `generation_config.json` file for different scenarios:
+   - **`temperature`**: Controls randomness (lower = deterministic, higher = creative).  
+   - **`max_length`**: Sets response length.  
+   - **`top_p`**: Adjusts sampling for diversity in outputs.
+
+---

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config.json

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+{
+  "_name_or_path": "unsloth/qwen2.5-3b-instruct-bnb-4bit",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
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+  "unsloth_version": "2024.12.4",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

configuration.json

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generation_config.json

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+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.46.3"
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special_tokens_map.json

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+{
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+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
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+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
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+    "single_word": false
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+    "content": "<|PAD_TOKEN|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
+size 11422086

tokenizer_config.json

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+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
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+  "eos_token": "<|im_end|>",
+  "errors": "replace",
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+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}