Should you use allam-2-7b?
allam-2-7b is listed for chat workloads and supports a 8K context window.
Use it when Groq's free tier is enough for evaluation, demos, or light production traffic.
https://api.groq.com/openai/v1 allam-2-7b allam-2-7b is listed for chat workloads and supports a 8K context window.
Use it when Groq's free tier is enough for evaluation, demos, or light production traffic.
We only found this allam-2-7b listing on Groq in the current catalog. Use the related models section for nearby alternatives.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | allam-2-7b | Free tier | 8K | Native | Varies |
| Model | Provider | Context | Access |
|---|---|---|---|
| Moonshot Kimi K2 | Groq | 131K | Free tier |
| Moonshot Kimi K2 0905 | Groq | 131K | Free tier |
| groq/compound | Groq | 131K | Free tier |
| groq/compound-mini | Groq | 131K | Free tier |
| llama-4-scout-17b-16e-instruct | Groq | 131K | Check provider |
allam-2-7b is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
allam-2-7b is listed with free API access on Groq, subject to the provider's quota and account policy.
The model ID shown in this catalog is allam-2-7b.
The listed context window is 8K tokens with up to 4K output tokens.
ALLaM-2-7b instruction tuned model by SDAIA
For API keys, setup steps, and provider-level limits, see the Groq provider page.