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H2ogpt Research Oasst1 Llama 65B by h2oai

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  Autotrain compatible Dataset:h2oai/openassistant oa...   En   Gpt   Llama   Open-source   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/h2oai/h2ogpt-research-oasst1-llama-65b 

H2ogpt Research Oasst1 Llama 65B Benchmarks

LLME Score: 0.1002
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2ogpt Research Oasst1 Llama 65B (h2oai/h2ogpt-research-oasst1-llama-65b)
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H2ogpt Research Oasst1 Llama 65B Parameters and Internals

Model Type 
instruction-following, large language model
Training Details 
Data Sources:
h2oai/openassistant_oasst1_h2ogpt_graded
Model Architecture:
LlamaForCausalLM, with 80 LlamaDecoderLayers and embedding size of 8192
LLM NameH2ogpt Research Oasst1 Llama 65B
Repository 🤗https://huggingface.co/h2oai/h2ogpt-research-oasst1-llama-65b 
Model Size65b
Required VRAM131.7 GB
Updated2025-09-15
Maintainerh2oai
Model Typellama
Model Files  4.7 GB: 1-of-27   4.9 GB: 2-of-27   4.9 GB: 3-of-27   4.9 GB: 4-of-27   4.9 GB: 5-of-27   4.9 GB: 6-of-27   4.9 GB: 7-of-27   4.9 GB: 8-of-27   4.9 GB: 9-of-27   4.9 GB: 10-of-27   4.9 GB: 11-of-27   4.9 GB: 12-of-27   4.9 GB: 13-of-27   4.9 GB: 14-of-27   4.9 GB: 15-of-27   4.9 GB: 16-of-27   4.9 GB: 17-of-27   4.9 GB: 18-of-27   4.9 GB: 19-of-27   4.9 GB: 20-of-27   4.9 GB: 21-of-27   4.9 GB: 22-of-27   4.9 GB: 23-of-27   4.9 GB: 24-of-27   4.9 GB: 25-of-27   4.9 GB: 26-of-27   4.5 GB: 27-of-27
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.30.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the H2ogpt Research Oasst1 Llama 65B

Model
Likes
Downloads
VRAM
...Research Oasst1 Llama 65B GPTQ5733 GB

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Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2ogpt-research-oasst1-llama-65b.

Rank the H2ogpt Research Oasst1 Llama 65B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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