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Qwen2.5 MFANN 7B SLERPv1.1 by netcat420

 »  All LLMs  »  netcat420  »  Qwen2.5 MFANN 7B SLERPv1.1   URL Share it on

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  Merged Model   Autotrain compatible Base model:huihui-ai/qwen2.5-c... Base model:netcat420/qwen2.5-7...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/qwen2.5-MFANN-7b-SLERPv1.1 

Qwen2.5 MFANN 7B SLERPv1.1 Benchmarks

MMLU Pro: 27.2
GPQA: 5.37
MUSR: 10.11
BBH: 29.98
IFEval: 65.55 vs 88 (so35)-25.5%
MATH Lvl 5: 29.68
LLME Score: 0.32695
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 MFANN 7B SLERPv1.1 (netcat420/qwen2.5-MFANN-7b-SLERPv1.1)

Qwen2.5 MFANN 7B SLERPv1.1 Parameters and Internals

LLM NameQwen2.5 MFANN 7B SLERPv1.1
Repository 🤗https://huggingface.co/netcat420/qwen2.5-MFANN-7b-SLERPv1.1 
Base Model(s)  netcat420/Qwen2.5-7b-MFANNv1.1   huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated   netcat420/Qwen2.5-7b-MFANNv1.1   huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-03-22
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 Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen2.5 MFANN 7B SLERPv1.1

Best Alternatives
Context / RAM
Downloads
Likes
StockQwen 2.5 7B128K / 15.2 GB153
OlympicCoder 7B32K / 15.2 GB4418136
Qwen2.5 Coder 7B Instruct32K / 15.2 GB210976445
Viper Coder HybridMini V1.332K / 15.2 GB9726
Qwen2.5 7B MS Destroyer32K / 15.2 GB1681
Qwen2.5 MFANN 7B SLERP V1.232K / 14.8 GB14850
...oder Qwen2.5 Coder 7B Ins Rule32K / 59 GB290
Qwen2.5 7B MFANN Slerp32K / 15.2 GB201
...erated MFANN Slerp Unretrained32K / 15.2 GB241
...r Scholar 7B Abliterated MFANN32K / 30.5 GB232
Note: green Score (e.g. "73.2") means that the model is better than netcat420/qwen2.5-MFANN-7b-SLERPv1.1.

Rank the Qwen2.5 MFANN 7B SLERPv1.1 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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Release v20241227
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