LLaMA 7B 2bit is an open-source language model by GreenBitAI. Features: 7b LLM, VRAM: 2.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.08.
Model Card on HF 🤗: https://huggingface.co/GreenBitAI/LLaMA-7B-2bit
LLaMA 7B 2bit 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)
LLaMA 7B 2bit Parameters and Internals
| LLM Name | LLaMA 7B 2bit |
| Repository 🤗 | https://huggingface.co/GreenBitAI/LLaMA-7B-2bit |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 2.6 GB |
| Updated | 2026-04-09 |
| Maintainer | GreenBitAI |
| Model Type | llama |
| Model Files | |
| Quantization Type | 2bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Transformers Version | 4.27.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to LLaMA 7B 2bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Smaugv0.1 6.0bpw H6 EXL2 | 195K / 26.4 GB | 3 | 4 |
| Smaugv0.1 5.0bpw H6 EXL2 | 195K / 22.3 GB | 4 | 3 |
| Smaugv0.1 3.0bpw H6 EXL2 | 195K / 13.9 GB | 4 | 1 |
| Smaugv0.1 4.0bpw H6 EXL2 | 195K / 18 GB | 3 | 1 |
| Smaugv0.1 4.65bpw H6 EXL2 | 195K / 20.8 GB | 3 | 1 |
| Smaugv0.1 8.0bpw H8 EXL2 | 195K / 34.9 GB | 3 | 1 |
| DeepSeek Prover V2 7B 4bit | 64K / 3.9 GB | 64 | 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 | 1 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than GreenBitAI/LLaMA-7B-2bit .
Rank the LLaMA 7B 2bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a