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DeepSeek R1 MFANN TIES Unretrained 7B by netcat420

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DeepSeek R1 MFANN TIES Unretrained 7B is an open-source language model by netcat420. Features: 7b LLM, VRAM: 15.2GB, Context: 4K, Code Generating, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:deepseek-ai/deepsee... Base model:netcat420/qwen2.5-c... Base model:qwen/qwen2.5-math-7...   Codegen   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/DeepSeek-R1-MFANN-TIES-unretrained-7b 

DeepSeek R1 MFANN TIES Unretrained 7B Benchmarks

MMLU Pro: 1.61
GPQA: 0.67
MUSR: 1.76
BBH: 4.56
IFEval: 25.87 vs 88 (so35)-70.6%
MATH Lvl 5: 1.21
LLME Score: 0.19261
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek R1 MFANN TIES Unretrained 7B (netcat420/DeepSeek-R1-MFANN-TIES-unretrained-7b)
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DeepSeek R1 MFANN TIES Unretrained 7B Parameters and Internals

LLM NameDeepSeek R1 MFANN TIES Unretrained 7B
Repository 🤗https://huggingface.co/netcat420/DeepSeek-R1-MFANN-TIES-unretrained-7b 
Base Model(s)  Qwen/Qwen2.5-Math-7B   DeepSeek R1 Distill Qwen 7B   netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained   Qwen/Qwen2.5-Math-7B   deepseek-ai/DeepSeek-R1-Distill-Qwen-7B   netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-01-23
Maintainernetcat420
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Rank the DeepSeek R1 MFANN TIES Unretrained 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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