Dataset:gair/lima Dataset:metaeval/scienceqa tex... Dataset:open-orca/openorca Dataset:openbookqa Dataset:sciq En Ggml Instruct Instruction Llama Quantized Region:us Upstage
Model Card on HF 🤗: https://huggingface.co/TheBloke/Upstage-Llama1-65B-Instruct-GGML
Upstage Llama1 65B Instruct 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)
Upstage Llama1 65B Instruct GGML Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Upstage Llama1 65B Instruct GGML |
| Repository 🤗 | https://huggingface.co/TheBloke/Upstage-Llama1-65B-Instruct-GGML |
| Model Size | 65b |
| Required VRAM | 27.5 GB |
| Updated | 2026-01-11 |
| Maintainer | TheBloke |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
| License | other |
Best Alternatives to Upstage Llama1 65B Instruct GGML
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...en Instruct Human Mix 65B GGUF | 0K / 27 GB | 49 | 1 |
| ...stage Llama1 65B Instruct GGUF | 0K / 27 GB | 153 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Upstage-Llama1-65B-Instruct-GGML .
Rank the Upstage Llama1 65B Instruct GGML Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124