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Model: alamios/DeepSeek-R1-DRAFT-Qwen2.5-Coder-0.5B-GGUF
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- alamios/DeepSeek-R1-DRAFT-Qwen2.5-Coder-0.5B
+datasets:
+- alamios/DeepSeek-R1-Distill-Qwen-32B-Conversations
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- code
+- qwen
+- qwen2.5
+- qwen-coder
+- codeqwen
+- deepseek
+---
+
+# DeepSeek-R1-DRAFT-Qwen2.5-Coder-0.5B-GGUF
+
+**Updated to v1**
+
+This model is trained on CODE outputs of <a href="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B">deepseek-ai/DeepSeek-R1-Distill-Qwen-32B</a> and is meant to be used only as draft model for speculative decoding.
+
+It's specifically intended for users of 3090/4090, allowing you to run the DeepSeek-R1-Distill-Qwen-32B-Q4_K_M GGUF version with 16k context and speeding up generation without sacrificing more context length or model quality.
+
+# Data info
+
+The data consists of code tasks collected from various datasets. It has been trained for 2 epochs on 2.5k unique examples, for a total of 7.6 million tokens per epoch.
+
+Since data generation was done using spare GPU time, I may publish a further trained version later.

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}