Autotrain compatible Dataset:openchat/openchat shar... Endpoints compatible Instruct Opt Pytorch Region:us Safetensors
Opt 350M Instruct 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)
Opt 350M Instruct Parameters and Internals
| LLM Name | Opt 350M Instruct |
| Repository 🤗 | https://huggingface.co/nnpy/opt-350m-instruct |
| Model Size | 350m |
| Required VRAM | 1.3 GB |
| Updated | 2024-09-18 |
| Maintainer | nnpy |
| Model Type | opt |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | OPTForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.30.1 |
| Beginning of Sentence Token | </s> |
| End of Sentence Token | </s> |
| Unk Token | </s> |
| Vocabulary Size | 50272 |
| Torch Data Type | float32 |
| Activation Function | relu |
| Errors | replace |
Best Alternatives to Opt 350M Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Aira OPT 350M | 2K / 0 GB | 8 | 0 |
| Chat Opt 350M Reward Deepspeed | 2K / 0.7 GB | 1065 | 7 |
| LongForm OPT 350M | 2K / 1.3 GB | 11 | 5 |
| ...speed Chat Step2 Model Opt350m | 2K / 0.7 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than nnpy/opt-350m-instruct .
Rank the Opt 350M Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803