Arxiv:2306.02707 Arxiv:2307.09288 Base model:finetune:stabilitya... Base model:stabilityai/stableb... Dataset:conceptofmind/cot subm... Dataset:conceptofmind/flan2021... Dataset:conceptofmind/niv2 sub... Dataset:conceptofmind/t0 submi... En Ggml Llama Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/StableBeluga2-70B-GGML
StableBeluga2 70B 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)
StableBeluga2 70B GGML Parameters and Internals
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| LLM Name | StableBeluga2 70B GGML |
| Repository 🤗 | https://huggingface.co/TheBloke/StableBeluga2-70B-GGML |
| Model Name | StableBeluga2 |
| Model Creator | Stability AI |
| Base Model(s) | |
| Model Size | 70b |
| Required VRAM | 28.6 GB |
| Updated | 2025-08-23 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
| License | llama2 |
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| Genz 70B GGML | 0K / 28.6 GB | 4 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/StableBeluga2-70B-GGML .
Rank the StableBeluga2 70B GGML Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124