Model Card on HF 🤗: https://huggingface.co/Muhammadreza/Nucleus-1B-GPTQ
Nucleus 1B GPTQ 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)
Nucleus 1B GPTQ Parameters and Internals
| LLM Name | Nucleus 1B GPTQ |
| Repository 🤗 | https://huggingface.co/Muhammadreza/Nucleus-1B-GPTQ |
| Model Size | 1b |
| Required VRAM | 1 GB |
| Updated | 2025-09-23 |
| Maintainer | Muhammadreza |
| Model Type | mistral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Nucleus 1B GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 1B GPTQ | 32K / 1 GB | 9 | 0 |
| Ganga 1B | 128K / 4 GB | 152 | 20 |
| MD Judge V0.1 | 32K / 14.4 GB | 2094 | 17 |
| Nucleus 1B Alpha 1 | 32K / 2.3 GB | 4 | 12 |
| Mallam 1.1B 20K Instructions | 32K / 2.2 GB | 15 | 1 |
| Experimental Mistral 1B V00 | 32K / 3.5 GB | 22 | 3 |
| Lmlab Mistral 1B Untrained | 32K / 4.5 GB | 35 | 7 |
| Empty Phi 1B | 3K / 5.8 GB | 5 | 0 |
| Phi Filtered 500M C1 | 2K / 0.7 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Muhammadreza/Nucleus-1B-GPTQ .
Rank the Nucleus 1B GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124