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Una Cybertron 7B V2 Bf16 by fblgit

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Una Cybertron 7B V2 Bf16 Benchmarks

MMLU Pro: 16.03
GPQA: 6.38
MUSR: 14.48
BBH: 14.97
IFEval: 47.37 vs 88 (so35)-46.2%
ARC: 68.26 vs 96.7 (so35)-29.4%
HellaSwag: 85.85 vs 95.3 (gpt4)-9.9%
MMLU: 63.23 vs 88.3 (so35)-28.4%
TruthfulQA: 64.63 vs 59 (gpt4)9.5%
WinoGrande: 80.98 vs 87.5 (gpt4)-7.5%
GSM8K: 55.04 vs 96.4 (so35)-42.9%
MATH Lvl 5: 3.32
LLME Score: 0.26664
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Una Cybertron 7B V2 Bf16 Parameters and Internals

LLM NameUna Cybertron 7B V2 Bf16
Repository 🤗https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16 
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
Maintainerfblgit
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Una Cybertron 7B V2 Bf16 (fblgit/una-cybertron-7b-v2-bf16)

Quantized Models of the Una Cybertron 7B V2 Bf16

Model
Likes
Downloads
VRAM
Una Cybertron 7B V2 GGUF325853 GB
Una Cybertron 7B V2 AWQ33074 GB
Una Cybertron 7B V2 GPTQ0144 GB

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Note: green Score (e.g. "73.2") means that the model is better than fblgit/una-cybertron-7b-v2-bf16.

Rank the Una Cybertron 7B V2 Bf16 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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