Model Card on HF 🤗: https://huggingface.co/bdambrosio/opt-2.7b-awq
Opt 2.7B AWQ 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 2.7B AWQ Parameters and Internals
| LLM Name | Opt 2.7B AWQ |
| Repository 🤗 | https://huggingface.co/bdambrosio/opt-2.7b-awq |
| Model Size | 2.7b |
| Required VRAM | 1.6 GB |
| Updated | 2025-09-11 |
| Maintainer | bdambrosio |
| Model Type | opt |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | OPTForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.33.1 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | </s> |
| End of Sentence Token | </s> |
| Unk Token | </s> |
| Vocabulary Size | 50272 |
| Torch Data Type | float16 |
| Activation Function | relu |
| Errors | replace |
Best Alternatives to Opt 2.7B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LLmRa 2.7B | 2K / 10.6 GB | 642 | 1 |
| OPT 2.7B Nerybus Mix | 2K / 5.5 GB | 1832 | 10 |
| Opt 2.7B | 2K / 5.3 GB | 59311 | 86 |
| OPT 2.7B Erebus | 2K / 5.3 GB | 2265 | 41 |
| OPT 2.7B Nerys V2 | 2K / 5.3 GB | 1687 | 6 |
| Opt 2.7B Realtime Chat V2 | 2K / 11.1 GB | 5 | 0 |
| LongForm OPT 2.7B | 2K / 5.3 GB | 7 | 3 |
| Opt 2.7B Wikitext2 | 2K / 11.1 GB | 9 | 0 |
| Opt 2.7B Realtime Chat | 2K / 11.1 GB | 4 | 2 |
| Opt Peter 2.7B | 2K / 10.6 GB | 16 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than bdambrosio/opt-2.7b-awq .
Rank the Opt 2.7B AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124