---
license: other
language:
- en
pipeline_tag: text-generation
inference: false
tags:
- transformers
- gguf
- imatrix
- QwQ-LCoT-7B-Instruct
---
Quantizations of https://huggingface.co./prithivMLmods/QwQ-LCoT-7B-Instruct

### Inference Clients/UIs
* [llama.cpp](https://github.com/ggerganov/llama.cpp)
* [KoboldCPP](https://github.com/LostRuins/koboldcpp)
* [ollama](https://github.com/ollama/ollama)
* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)
* [jan](https://github.com/janhq/jan)
* [GPT4All](https://github.com/nomic-ai/gpt4all)
---

# From original readme

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.

### **Training Dataset:**  
- **Dataset Name:** [amphora/QwQ-LongCoT-130K](https://huggingface.co./datasets/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.
---