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COCO 7B Instruct 1M by prithivMLmods

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Chain of thought   Coco   Conversational   Cot   En   Endpoints compatible   Instruct   Model-index   Qwen   Qwen2   Qwen2.5   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/COCO-7B-Instruct-1M 

COCO 7B Instruct 1M Benchmarks

MMLU Pro: 35.4
GPQA: 7.72
MUSR: 13.51
BBH: 34.68
IFEval: 47.43 vs 88 (so35)-46.1%
MATH Lvl 5: 34.97
LLME Score: 0.30854
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
COCO 7B Instruct 1M (prithivMLmods/COCO-7B-Instruct-1M)

COCO 7B Instruct 1M Parameters and Internals

LLM NameCOCO 7B Instruct 1M
Repository 🤗https://huggingface.co/prithivMLmods/COCO-7B-Instruct-1M 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct-1M   Qwen/Qwen2.5-7B-Instruct-1M
Model Size7b
Required VRAM15.2 GB
Updated2025-05-31
MaintainerprithivMLmods
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to COCO 7B Instruct 1M

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Context / RAM
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Qwen2.5 7B Instruct 1M986K / 15.4 GB2131037327
Qwen2.5 7B RRP 1M986K / 15.2 GB1996
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB442
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB157
Q2.5 Instruct 1M Harmony986K / 15.2 GB192
Impish QWEN 7B 1M986K / 15.2 GB244
Apollo 7B986K / 15.2 GB90
Qwen2.5 7B Instruct 1M986K / 15.2 GB8402
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB130
Qwen2.5 7B Rebase986K / 15.2 GB732
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/COCO-7B-Instruct-1M.

Rank the COCO 7B Instruct 1M 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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