LLaMA 7B 4bit 32g is an open-source language model by Neko-Institute-of-Science. Features: 7b LLM, VRAM: 4.3GB, Context: 2K, Quantized, LLM Explorer Score: 0.06.
| Training Details |
|
| LLM Name | LLaMA 7B 4bit 32g |
| Repository 🤗 | https://huggingface.co/Neko-Institute-of-Science/LLaMA-7B-4bit-32g |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.3 GB |
| Updated | 2026-07-28 |
| Maintainer | Neko-Institute-of-Science |
| Model Type | llama |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.28.1 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Smaugv0.1 6.0bpw H6 EXL2 | 195K / 26.4 GB | 1 | 4 |
| Smaugv0.1 5.0bpw H6 EXL2 | 195K / 22.3 GB | 3 | 3 |
| Smaugv0.1 4.65bpw H6 EXL2 | 195K / 20.8 GB | 5 | 1 |
| Smaugv0.1 4.0bpw H6 EXL2 | 195K / 18 GB | 4 | 1 |
| Smaugv0.1 8.0bpw H8 EXL2 | 195K / 34.9 GB | 4 | 1 |
| Smaugv0.1 3.0bpw H6 EXL2 | 195K / 13.9 GB | 0 | 1 |
| DeepSeek Prover V2 7B 4bit | 64K / 3.9 GB | 236 | 4 |
| Mistral 7B Openplatypus 1K | 32K / 29 GB | 1814 | 0 |
| Mistral 7B OpenOrca 1K | 32K / 29 GB | 1811 | 3 |
| ...rnlm2 20B Llama 4.0bpw H6 EXL2 | 32K / 11 GB | 5 | 1 |