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H2ogpt Research Oasst1 Llama 65B GPTQ by TheBloke

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H2ogpt Research Oasst1 Llama 65B GPTQ is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 33.5GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.08.

  4-bit   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/h2ogpt-research-oasst1-llama-65B-GPTQ 

H2ogpt Research Oasst1 Llama 65B GPTQ Benchmarks

LLME Score: 0.07872
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 GPTQ (TheBloke/h2ogpt-research-oasst1-llama-65B-GPTQ)
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H2ogpt Research Oasst1 Llama 65B GPTQ Parameters and Internals

Model Type 
Instruction-following Large Language Model
Training Details 
Data Sources:
h2oai/openassistant_oasst1_h2ogpt_graded
Context Length:
2048
Model Architecture:
LlamaForCausalLM
LLM NameH2ogpt Research Oasst1 Llama 65B GPTQ
Repository 🤗https://huggingface.co/TheBloke/h2ogpt-research-oasst1-llama-65B-GPTQ 
Base Model(s)  ...ogpt Research Oasst1 Llama 65B   h2oai/h2ogpt-research-oasst1-llama-65b
Model Size65b
Required VRAM33.5 GB
Updated2026-05-23
MaintainerTheBloke
Model Typellama
Model Files  33.5 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.30.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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...en Instruct Human Mix 65B GPTQ2K / 33.5 GB70
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Airoboros 65B Gpt4 1.2 GPTQ2K / 33.5 GB1611
Dromedary 65B Lora GPTQ2K / 33.5 GB56
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Guanaco 65B GPTQ2K / 33.5 GB234262
Airoboros 65B GPT4 M2.0 GPTQ2K / 33.5 GB242
Airoboros 65B GPT4 2.0 GPTQ2K / 33.5 GB163
...stage Llama1 65B Instruct GPTQ2K / 34.7 GB183
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/h2ogpt-research-oasst1-llama-65B-GPTQ.

Rank the H2ogpt Research Oasst1 Llama 65B GPTQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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