H2ogpt Gm Oasst1 En 2048 Falcon 7B by h2oai

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  Autotrain compatible   Custom code   Dataset:openassistant/oasst1   En   Gpt   H2o-llmstudio   Pytorch   Refinedwebmodel   Region:us   Sharded

H2ogpt Gm Oasst1 En 2048 Falcon 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2ogpt Gm Oasst1 En 2048 Falcon 7B (h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b)
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H2ogpt Gm Oasst1 En 2048 Falcon 7B Parameters and Internals

Model Type 
gpt, llm, large language model, H2O LLMStudio
Training Details 
Data Sources:
OpenAssistant/oasst1
Methodology:
Using H2O LLM Studio with data preparation scripts from GitHub.
Context Length:
2048
Model Architecture:
RWForCausalLM with Attention, MLP, and LayerNorm modules.
Input Output 
Accepted Modalities:
text
LLM NameH2ogpt Gm Oasst1 En 2048 Falcon 7B
Repository ๐Ÿค—https://huggingface.co/h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainerh2oai
Model TypeRefinedWebModel
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.29.2
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat16

Quantized Models of the H2ogpt Gm Oasst1 En 2048 Falcon 7B

Model
Likes
Downloads
VRAM
...sst1 En 2048 Falcon 7B V3 GPTQ484 GB

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Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b.

Rank the H2ogpt Gm Oasst1 En 2048 Falcon 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124