ALLaM-2-7b
Generally availableOpen weights4K context
Summary
ALLaM-2-7b is an open-weight language model from Sdaia, released on 23 Jan 2025. It accepts text and generates text, with a 4K-token context window and up to 4K output tokens per response.
ALLaM-2-7b instruction tuned model by SDAIA
Last verified 4 Oct 2026. Every figure on this page links to its source.
Specifications
| Developer | Sdaia |
|---|---|
| Release date | 23 Jan 2025 [models.dev] |
| Status | Generally available [models.dev] |
| Weights | Open weights [models.dev] |
| Context window | 4K (4,096 tokens) [models.dev] |
| Max output | 4K tokens [models.dev] |
| Input | Text [models.dev] |
| Output | Text [models.dev] |
| Reasoning mode | No [models.dev] |
| Tool calling | No [models.dev] |
ALLaM-2-7b API pricing by provider
USD per million tokens. Sorted by input price.
| Provider | Input | Output | Cached input | Context | Source |
|---|---|---|---|---|---|
| Groq allam-2-7b | Free | Free | – | 4K | models.dev, 4 Oct 2026 |
Frequently asked questions
What is the context window of ALLaM-2-7b?
ALLaM-2-7b has a context window of 4,096 tokens (4K) and can generate up to 4,096 tokens in a single response, according to models.dev.
Is ALLaM-2-7b open source?
ALLaM-2-7b is an open-weight model. Check the license terms before commercial use.
When was ALLaM-2-7b released?
Sdaia released ALLaM-2-7b on 23 Jan 2025, according to models.dev.
Change history
No changes detected since we started tracking this model. We re-check every source daily.