Model Card on HF 🤗: https://huggingface.co/TheBloke/LLaMa-65B-GGML
LLaMa 65B GGML 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 GGML Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | LLaMa 65B GGML |
| Repository 🤗 | https://huggingface.co/TheBloke/LLaMa-65B-GGML |
| Model Size | 65b |
| Required VRAM | 27.3 GB |
| Updated | 2025-09-23 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
| License | other |
Best Alternatives to LLaMa 65B GGML
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Airoboros 65B GPT4 M2.0 GGML | 0K / 27.5 GB | 7 | 2 |
| Airoboros 65B GPT4 2.0 GGML | 0K / 27.5 GB | 6 | 2 |
| ...stage Llama1 65B Instruct GGML | 0K / 27.5 GB | 10 | 5 |
| ...en Instruct Human Mix 65B GGUF | 0K / 27 GB | 49 | 1 |
| LLaMA 65B GGUF | 0K / 27 GB | 428 | 5 |
| Guanaco 65B GGUF | 0K / 27 GB | 428 | 5 |
| ...stage Llama1 65B Instruct GGUF | 0K / 27 GB | 153 | 1 |
| Medguanaco Lora 65B GPTQ | 0K / 0.3 GB | 0 | 9 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/LLaMa-65B-GGML .
Rank the LLaMa 65B GGML Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124