DeepSeek R1 Distill Qwen 14B EXL2 8.0bpw by KnutJaegersberg

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  8-bit   Autotrain compatible   Conversational   Endpoints compatible   Exl2   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

DeepSeek R1 Distill Qwen 14B EXL2 8.0bpw Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek R1 Distill Qwen 14B EXL2 8.0bpw (KnutJaegersberg/DeepSeek-R1-Distill-Qwen-14B-exl2-8.0bpw)

DeepSeek R1 Distill Qwen 14B EXL2 8.0bpw Parameters and Internals

LLM NameDeepSeek R1 Distill Qwen 14B EXL2 8.0bpw
Repository 🤗https://huggingface.co/KnutJaegersberg/DeepSeek-R1-Distill-Qwen-14B-exl2-8.0bpw 
Model Size14b
Required VRAM14.7 GB
Updated2025-02-05
MaintainerKnutJaegersberg
Model Typeqwen2
Model Files  8.5 GB: 1-of-2   6.2 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<|begin▁of▁sentence|>
End of Sentence Token<|end▁of▁sentence|>
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/DeepSeek-R1-Distill-Qwen-14B-exl2-8.0bpw.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227