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Caigun Model 34BX2 V2 by APMIC

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  Autotrain compatible   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/APMIC/caigun-model-34BX2-v2 

Caigun Model 34BX2 V2 Benchmarks

LLME Score: 0.18875
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Caigun Model 34BX2 V2 (APMIC/caigun-model-34BX2-v2)

Caigun Model 34BX2 V2 Parameters and Internals

LLM NameCaigun Model 34BX2 V2
Repository 🤗https://huggingface.co/APMIC/caigun-model-34BX2-v2 
Model Size60.9b
Required VRAM122 GB
Updated2025-02-22
MaintainerAPMIC
Model Typemixtral
Model Files  5.0 GB: 1-of-25   4.8 GB: 2-of-25   4.9 GB: 3-of-25   4.8 GB: 4-of-25   4.9 GB: 5-of-25   4.8 GB: 6-of-25   4.9 GB: 7-of-25   5.0 GB: 8-of-25   5.0 GB: 9-of-25   5.0 GB: 10-of-25   5.0 GB: 11-of-25   5.0 GB: 12-of-25   5.0 GB: 13-of-25   5.0 GB: 14-of-25   5.0 GB: 15-of-25   5.0 GB: 16-of-25   5.0 GB: 17-of-25   5.0 GB: 18-of-25   5.0 GB: 19-of-25   5.0 GB: 20-of-25   5.0 GB: 21-of-25   5.0 GB: 22-of-25   5.0 GB: 23-of-25   5.0 GB: 24-of-25   2.9 GB: 25-of-25   0.0 GB
Model ArchitectureMixtralForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size67401
Torch Data Typebfloat16

Rank the Caigun Model 34BX2 V2 Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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