Stable Beluga 2
Stable Beluga 2 is an open-weights language model from Stability AI, released July 20, 2023. On the Epoch Capabilities Index it scores 109.5, rank 204 of 256 rated models.
Check it against your own PC →
Lab
Stability AI
Released
July 20, 2023
Weights
Open non-commercial
Parameters
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Context
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Price / M tokens
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Epoch ECI
109.5 #204
Can you run Stable Beluga 2 locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Size unknown | – | – | – | – |
| 8 GB VRAM | Size unknown | – | – | – | – |
| 12 GB VRAM | Size unknown | – | – | – | – |
| 16 GB VRAM | Size unknown | – | – | – | – |
| 24 GB VRAM | Size unknown | – | – | – | – |
| 32 GB VRAM | Size unknown | – | – | – | – |
Parameter count unknown. The weights may not be on Hugging Face yet.
Benchmark results
| Benchmark (Epoch AI) | Score |
|---|---|
| MMLU | 58.1% |
Links
Models with a similar score
Mixtral 8x7B · GPT-3.5 Turbo (Jan 2024) · GPT-3.5 Turbo (Nov 2023) · Gemma 2 9B · Llama 3.1-8B · phi-3-mini 3.8B · Llama 3-8B · Qwen2.5-Coder (7B)