Upload README.md

README.md

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+---
+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.
+---