Model Card on HF 🤗: https://huggingface.co/jlsilva/facebook-opt-125m-gptq4bit
Facebook Opt 125M Gptq4bit 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)
Facebook Opt 125M Gptq4bit Parameters and Internals
| LLM Name | Facebook Opt 125M Gptq4bit |
| Repository 🤗 | https://huggingface.co/jlsilva/facebook-opt-125m-gptq4bit |
| Model Size | 125m |
| Required VRAM | 0.1 GB |
| Updated | 2025-09-23 |
| Maintainer | jlsilva |
| Model Type | opt |
| Model Files | |
| Model Architecture | OPTForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.36.2 |
| Vocabulary Size | 50272 |
| Torch Data Type | float16 |
| Activation Function | relu |
Best Alternatives to Facebook Opt 125M Gptq4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...125M Qcqa Ub 6 Best For Q Loss | 2K / 0.5 GB | 1718 | 0 |
| ...25M Gqa Ub 6 Best For KV Cache | 2K / 0.5 GB | 1694 | 0 |
| ...5M Qcqa Ub 6 Best For KV Cache | 2K / 0.5 GB | 1556 | 0 |
| Opt 125M | 2K / 0.3 GB | 9789846 | 218 |
| Galactica 125M Cot | 2K / 0.5 GB | 5 | 0 |
| Galactica Ref | 2K / 0.5 GB | 5 | 0 |
| Galactica 125M DPO Pos | 2K / 0.5 GB | 5 | 0 |
| Galactica 125M DPO | 2K / 0.5 GB | 5 | 0 |
| BertQA | 2K / 0.5 GB | 5 | 0 |
| BertQA | 2K / 0.5 GB | 9 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than jlsilva/facebook-opt-125m-gptq4bit .
Rank the Facebook Opt 125M Gptq4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124