StableBeluga2
stabilityai Not declared out 3 years ago
Text in, text out.
Verified 2026-10-25 Rank #654 in LLMs · score 73.1 method v1 Sources 3 Downloads 30d 833 · #597 of 619 tracked
Where it's used
Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.
No API provider serves it, so its downloads are people running it themselves: 5 quantized builds.
What people built on it
6 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
6 derivatives on the Hub, most of them quantized
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Reference
Everything else, folded: the full tables, every source.
Use-case evidence
1 use case
What it is good at 1 use case
Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.
Facts
12 fields
Listed in LLMs
Facts
- License: Not declared (friction: review). No license declared on the model card. (license file, observed —)
- Created 2023-07-20, last modified 2023-09-18. (HF API, observed —)
| Pipeline tag | text-generation |
|---|---|
| Library | transformers |
| Architectures | LlamaForCausalLM |
| Model type | llama |
| MoE | no |
| Papers | arXiv:2307.09288, arXiv:2306.02707 |
| License | Not declared |
| Hub snapshot | 2026-10-25 |
All variants
6 variants
Lineage
quantized: 5finetune: 1
Top variants (6 shown, ranked by downloads)
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| TheBloke/StableBeluga2-70B-GPTQ | quantized | GPTQ | 69.0B | XL | llama2 | TheBloke | 90 | 14k |
| mradermacher/StableBeluga2-i1-GGUF | quantized | GGUF | — | — | — | mradermacher | 0 | 8.3k |
| TheBloke/StableBeluga2-70B-GGUF | quantized | GGUF | — | — | llama2 | TheBloke | 4 | 7.8k |
| mradermacher/StableBeluga2-GGUF | quantized | GGUF | — | — | — | mradermacher | 2 | 5.7k |
| TheBloke/StableBeluga2-70B-GGML | finetune | — | — | — | llama2 | TheBloke | 40 | 1k |
| TheBloke/StableBeluga2-70B-AWQ | quantized | AWQ | 69.0B | XL | llama2 | TheBloke | 2 | 1.5k |
Papers
2 papers
Papers 2
arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).
- Llama 2: Open Foundation and Fine-Tuned Chat Models cited in card
- Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar +3 · 2023-06-05 · PDF · HF paper page (51 upvotes)
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Sources
3 sources
Sources
Hub snapshot: 2026-10-25 · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-14 14:07 UTC · Last verified 2026-10-25
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