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Qwen2.5 7B MFANN Slerp by netcat420

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  Merged Model   Autotrain compatible Base model:huihui-ai/qwen2.5-c... Base model:netcat420/qwen2.5-m...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/Qwen2.5-7b-MFANN-slerp 

Qwen2.5 7B MFANN Slerp Benchmarks

MMLU Pro: 26.85
GPQA: 6.04
MUSR: 8.98
BBH: 30.36
IFEval: 65.32 vs 88 (so35)-25.8%
MATH Lvl 5: 28.7
LLME Score: 0.27939
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B MFANN Slerp (netcat420/Qwen2.5-7b-MFANN-slerp)
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Qwen2.5 7B MFANN Slerp Parameters and Internals

LLM NameQwen2.5 7B MFANN Slerp
Repository 🤗https://huggingface.co/netcat420/Qwen2.5-7b-MFANN-slerp 
Base Model(s)  huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated   netcat420/Qwen2.5-MFANN-7b   huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated   netcat420/Qwen2.5-MFANN-7b
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-02-02
Maintainernetcat420
Model Typeqwen2
Instruction-BasedYes
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 Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than netcat420/Qwen2.5-7b-MFANN-slerp.

Rank the Qwen2.5 7B MFANN Slerp Capabilities

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Release v20241124
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