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H2ogpt Gm Oasst1 En 2048 Falcon 40B V2 by h2oai

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

H2ogpt Gm Oasst1 En 2048 Falcon 40B V2 Benchmarks

LLME Score: 0.15977
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 40B V2 Parameters and Internals

LLM NameH2ogpt Gm Oasst1 En 2048 Falcon 40B V2
Repository 🤗https://huggingface.co/h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v2 
Model Size40b
Required VRAM83.6 GB
Updated2024-09-18
Maintainerh2oai
Model TypeRefinedWeb
Model Files  9.5 GB: 1-of-9   9.5 GB: 2-of-9   9.5 GB: 3-of-9   9.5 GB: 4-of-9   9.5 GB: 5-of-9   9.5 GB: 6-of-9   9.5 GB: 7-of-9   9.5 GB: 8-of-9   7.6 GB: 9-of-9
Supported Languagesen
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.29.0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat16
H2ogpt Gm Oasst1 En 2048 Falcon 40B V2 (h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v2)

Quantized Models of the H2ogpt Gm Oasst1 En 2048 Falcon 40B V2

Model
Likes
Downloads
VRAM
...st1 En 2048 Falcon 40B V2 GPTQ81322 GB

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...alcon 40B Lora Sft Stage2 1.1K0K / 82.5 GB70
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Falcon 40B Sft Mix 12260K / 83.6 GB1038
Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v2.

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