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V Alpha Tross by gradientai

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V Alpha Tross Benchmarks

ARC: 71.84 vs 96.7 (so35)-25.7%
HellaSwag: 86.84 vs 95.3 (gpt4)-8.9%
MMLU: 70.44 vs 88.3 (so35)-20.2%
TruthfulQA: 65.22 vs 59 (gpt4)10.5%
WinoGrande: 83.11 vs 87.5 (gpt4)-5%
GSM8K: 61.49 vs 96.4 (so35)-36.2%
LLME Score: 0.19813
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

V Alpha Tross Parameters and Internals

LLM NameV Alpha Tross
Repository 🤗https://huggingface.co/gradientai/v-alpha-tross 
Model Size69b
Required VRAM138.7 GB
Updated2024-09-08
Maintainergradientai
Model Typellama
Model Files  4.7 GB: 1-of-29   4.7 GB: 2-of-29   5.0 GB: 3-of-29   5.0 GB: 4-of-29   4.7 GB: 5-of-29   4.7 GB: 6-of-29   4.7 GB: 7-of-29   5.0 GB: 8-of-29   5.0 GB: 9-of-29   4.7 GB: 10-of-29   4.7 GB: 11-of-29   4.7 GB: 12-of-29   5.0 GB: 13-of-29   5.0 GB: 14-of-29   4.7 GB: 15-of-29   4.7 GB: 16-of-29   4.7 GB: 17-of-29   5.0 GB: 18-of-29   5.0 GB: 19-of-29   4.7 GB: 20-of-29   4.7 GB: 21-of-29   4.7 GB: 22-of-29   5.0 GB: 23-of-29   5.0 GB: 24-of-29   4.7 GB: 25-of-29   4.7 GB: 26-of-29   4.7 GB: 27-of-29   5.0 GB: 28-of-29   3.8 GB: 29-of-29
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.1
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32001
Torch Data Typebfloat16
V Alpha Tross (gradientai/v-alpha-tross)

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Note: green Score (e.g. "73.2") means that the model is better than gradientai/v-alpha-tross.

Rank the V Alpha Tross Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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