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Oasst Rlhf 2 Llama 30B 7K Steps Hf by Yhyu13

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Oasst Rlhf 2 Llama 30B 7K Steps Hf Benchmarks

ARC: 61.35 vs 96.7 (so35)-36.6%
HellaSwag: 83.8 vs 95.3 (gpt4)-12.1%
MMLU: 57.89 vs 88.3 (so35)-34.4%
TruthfulQA: 51.18 vs 59 (gpt4)-13.3%
WinoGrande: 78.77 vs 87.5 (gpt4)-10%
GSM8K: 31.46 vs 96.4 (so35)-67.4%
LLME Score: 0.15274
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Oasst Rlhf 2 Llama 30B 7K Steps Hf Parameters and Internals

LLM NameOasst Rlhf 2 Llama 30B 7K Steps Hf
Repository 🤗https://huggingface.co/Yhyu13/oasst-rlhf-2-llama-30b-7k-steps-hf 
Model Size30b
Required VRAM65.2 GB
Updated2024-09-20
MaintainerYhyu13
Model Typellama
Model Files  9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.7 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32006
Torch Data Typefloat16
Oasst Rlhf 2 Llama 30B 7K Steps Hf (Yhyu13/oasst-rlhf-2-llama-30b-7k-steps-hf)

Quantized Models of the Oasst Rlhf 2 Llama 30B 7K Steps Hf

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VRAM
...2 Llama 30B 7K Steps Gptq 2bit269 GB
...2 Llama 30B 7K Steps Gptq 4bit3917 GB

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Note: green Score (e.g. "73.2") means that the model is better than Yhyu13/oasst-rlhf-2-llama-30b-7k-steps-hf.

Rank the Oasst Rlhf 2 Llama 30B 7K Steps Hf Capabilities

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Release v2024072803
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