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Qwen2.5 14B DeepSeek R1 1M by mkurman

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  Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-14b-in...   Conversational   Endpoints compatible   Gguf   Instruct   Q4   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mkurman/Qwen2.5-14B-DeepSeek-R1-1M 

Qwen2.5 14B DeepSeek R1 1M Benchmarks

LLME Score: 0.36684
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 14B DeepSeek R1 1M (mkurman/Qwen2.5-14B-DeepSeek-R1-1M)

Qwen2.5 14B DeepSeek R1 1M Parameters and Internals

LLM NameQwen2.5 14B DeepSeek R1 1M
Repository 🤗https://huggingface.co/mkurman/Qwen2.5-14B-DeepSeek-R1-1M 
Base Model(s)  DeepSeek R1 Distill Qwen 14B   Qwen/Qwen2.5-14B-Instruct-1M   deepseek-ai/DeepSeek-R1-Distill-Qwen-14B   Qwen/Qwen2.5-14B-Instruct-1M
Model Size14b
Required VRAM29.7 GB
Updated2025-02-22
Maintainermkurman
Model Typeqwen2
Instruction-BasedYes
Model Files  9.0 GB   15.7 GB   4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.47.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mkurman/Qwen2.5-14B-DeepSeek-R1-1M.

Rank the Qwen2.5 14B DeepSeek R1 1M Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241227
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