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Deepseek Qwen2.5 7B Redistil by jan-hq

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Deepseek Qwen2.5 7B Redistil is an open-source language model by jan-hq. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, Quantized, LLM Explorer Score: 0.17.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Gguf   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jan-hq/Deepseek-Qwen2.5-7B-Redistil 

Deepseek Qwen2.5 7B Redistil Benchmarks

LLME Score: 0.17267
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepseek Qwen2.5 7B Redistil (jan-hq/Deepseek-Qwen2.5-7B-Redistil)
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Deepseek Qwen2.5 7B Redistil Parameters and Internals

LLM NameDeepseek Qwen2.5 7B Redistil
Repository 🤗https://huggingface.co/jan-hq/Deepseek-Qwen2.5-7B-Redistil 
Model Size7b
Required VRAM15.2 GB
Updated2026-05-19
Maintainerjan-hq
Model Typeqwen2
Model Files  8.1 GB   8.1 GB   4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size152064
Torch Data Typebfloat16

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...der 7B Instruct Abliterated V132K / 15.2 GB83
Note: green Score (e.g. "73.2") means that the model is better than jan-hq/Deepseek-Qwen2.5-7B-Redistil.

Rank the Deepseek Qwen2.5 7B Redistil Capabilities

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