Model Card on HF 🤗: https://huggingface.co/kuleshov/llama-65b-4bit
Llama 65B 4bit 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 65B 4bit Parameters and Internals
| LLM Name | Llama 65B 4bit |
| Repository 🤗 | https://huggingface.co/kuleshov/llama-65b-4bit |
| Base Model(s) | |
| Model Size | 65b |
| Required VRAM | 33.5 GB |
| Updated | 2025-09-14 |
| Maintainer | kuleshov |
| Model Type | llama |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | LLaMAForCausalLM |
| Transformers Version | 4.28.0 |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Llama 65B 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 65B Hf | 0K / 72 GB | 812 | 3 |
| Llama 65B Hf | 0K / 75.2 GB | 6 | 0 |
| Llama 65B | 0K / 72 GB | 21 | 0 |
| Llama 65B Int4 | 0K / 33.5 GB | 17 | 7 |
| LLaMA 65B HF | 0K / 73.6 GB | 11 | 19 |
| Deepshard 65B Raw | 0K / 73.6 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than kuleshov/llama-65b-4bit .
Rank the Llama 65B 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124