Autotrain compatible Custom code Dataset:h2oai/h2ogpt-oig-oasst... En Gpt Instruct Open-source Pytorch Refinedweb Region:us Sharded
H2ogpt Oig Oasst1 Falcon 40B Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
H2ogpt Oig Oasst1 Falcon 40B Parameters and Internals
| LLM Name | H2ogpt Oig Oasst1 Falcon 40B |
| Repository 🤗 | https://huggingface.co/h2oai/h2ogpt-oig-oasst1-falcon-40b |
| Model Size | 40b |
| Required VRAM | 82.5 GB |
| Updated | 2024-11-09 |
| Maintainer | h2oai |
| Model Type | RefinedWeb |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | RWForCausalLM |
| License | apache-2.0 |
| Model Max Length | 2048 |
| Transformers Version | 4.30.0.dev0 |
| Is Biased | 0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 65024 |
| Torch Data Type | float16 |
Best Alternatives to H2ogpt Oig Oasst1 Falcon 40B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Falcon 40B Instruct 8bit | 0K / 41.8 GB | 34 | 6 |
| Falcon 40B Instruct GPTQ | 0K / 22.5 GB | 87 | 198 |
| ...alcon 40B Instruct W4 G128 AWQ | 0K / 22.3 GB | 26 | 2 |
| Falcon 40B Instruct GPTQ | 0K / 22.5 GB | 14 | 1 |
| ...truct GPTQ Inference Endpoints | 0K / 22.5 GB | 21 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2ogpt-oig-oasst1-falcon-40b .
Rank the H2ogpt Oig Oasst1 Falcon 40B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803