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Tempemotacilla Messieropussm8 0308 by Cran-May

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Code   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sft   Sharded   Streamlinedmemory   Tensorflow   Trl   Zh
Model Card on HF 🤗: https://huggingface.co/Cran-May/tempemotacilla-messieropussm8-0308 

Tempemotacilla Messieropussm8 0308 Benchmarks

LLME Score: 0.26081
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tempemotacilla Messieropussm8 0308 (Cran-May/tempemotacilla-messieropussm8-0308)

Tempemotacilla Messieropussm8 0308 Parameters and Internals

LLM NameTempemotacilla Messieropussm8 0308
Repository 🤗https://huggingface.co/Cran-May/tempemotacilla-messieropussm8-0308 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct-1M   Qwen/Qwen2.5-14B-Instruct-1M
Model Size14b
Required VRAM29.7 GB
Updated2025-03-21
MaintainerCran-May
Model Typeqwen2
Instruction-BasedYes
Model Files  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
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...14B Instruct 1M GRPO Reasoning986K / 29.7 GB2604
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Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
Note: green Score (e.g. "73.2") means that the model is better than Cran-May/tempemotacilla-messieropussm8-0308.

Rank the Tempemotacilla Messieropussm8 0308 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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