Mistral AI · Official-source model record
Mamba-Codestral-7B-v0.1
Codestral · Version 0.1
Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.
Coverage & sources ↗Current catalog answers
What to know about Mamba-Codestral-7B-v0.1
AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.
Which Mamba-Codestral-7B-v0.1 does this page describe?
Mamba-Codestral-7B-v0.1 is a model record from Mistral AI in the Codestral family. Source
The recorded model identifier or checkpoint is 0.1. Use that exact identifier when checking documentation or a provider listing. Source
How can you access Mamba-Codestral-7B-v0.1?
The catalog records the historical API and Open weights access route for Mamba-Codestral-7B-v0.1. Source
As of the catalog check, this version was marked retired. Source Check the linked lifecycle information before starting a new integration.
For a new integration, use the publisher’s replacement guidance and check its current account, region and endpoint requirements. Historical API access does not mean the retired endpoint can still be called.
Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement. This record documents API access separately.
What are Mamba-Codestral-7B-v0.1's context and output limits?
The documented context window is 256,000 tokens. Source
A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance.
Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.
What dates are documented for Mamba-Codestral-7B-v0.1?
Release date: July 16, 2024. Source This is a release milestone, not a knowledge or training cutoff. The source labels this “Release date on Mistral model specification.”
Neither a knowledge cutoff nor a training-data cutoff is established here. A release date, repository upload or filename cannot supply those missing dates.
What license is recorded for Mamba-Codestral-7B-v0.1?
The recorded license label is Apache 2.0. Source
Read the linked license and associated use terms for this exact version before redistribution, commercial deployment or fine-tuning. A label alone does not establish every permission, restriction or obligation, and it does not determine the terms of a separate hosted service.
What distinguishes Mamba-Codestral-7B-v0.1?
These details come from the linked publisher material for this model. Reported capabilities and training descriptions are publisher statements, not independent test results.
- Architecture and specialization
- Code-focused model using the Mamba2 architecture. Source
- Nominal parameters and deployment
- The release reports 7,285,403,648 parameters and an instructed checkpoint, with deployment through mistral-inference or TensorRT-LLM. Source
- Tested retrieval range
- Mistral reports in-context retrieval tests up to 256k tokens. This is a test result, not a documented maximum context limit. Source
What is documented about the Mamba-Codestral-7B-v0.1 checkpoint?
This evidence refers to mistralai/Mamba-Codestral-7B-v0.1 at recorded revision 4f086c08c1e0f07bdc50ca25125dbbf7475d21da, checked October 23, 2026. Repository metadata
Safetensors metadata records 7,285,403,648 stored parameters. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. Repository metadata
Listed library: vllm. Check that library's version and model support before loading the weights. Repository metadata
Repository access gate: false. This records the repository's gate setting when checked; licensing and use terms still apply. Repository metadata
Read the retrieved model card for setup and qualifications. Model card
Keep the exact version in view
Other Codestral models from Mistral AI.
These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.
Codestral
API · 128,000 context tokens
Codestral
API · 128,000 context tokens
Codestral-22B-v0.1
API · Open weights · 32,000 context tokens
The documented record
Specifications, with their sources.
A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.
- Publisher
- Mistral AISource ↗
- Family
- CodestralSource ↗
- Version
- 0.1Source ↗
- Availability
- RetiredSource ↗
- Access
- API · Open weightsSource ↗
- Inputs
- Not documented
- Outputs
- Not documented
- Context window
- 256,000 tokensSource ↗
- Maximum input
- Not documented
- Maximum output
- Not documented
- Knowledge cutoff
- Not documented
- Training-data cutoff
- Not documented
- Training completed
- Not documented
- Release date
- Jul 16, 2024Release date on Mistral model specification · day precisionSource ↗
- License
- Apache 2.0Source ↗
- Input price / 1M tokens
- Not documented
- Output price / 1M tokens
- Not documented
Read this with the numbers.
Official publisher model repository; listed status confirms a catalog entry, not a verified hosted API service. Lifecycle status refers to the Mistral API; publicly listed weights may remain usable under their license. Mistral context shorthand 256k is represented in nominal decimal tokens. Publisher repository evidence (2026-10-23): Repository library label: vllm. Published safetensors metadata counts 7,285,403,648 stored parameters; this is not an active-parameter count for mixture-of-experts models.
Model identifiers and aliases 1
mistralai/Mamba-Codestral-7B-v0.1
Follow the evidence
Official sources.
- Codestral Mamba 7B specifications ↗docs.mistral.ai
- Mamba-Codestral-7B-v0.1 — official model card ↗huggingface.co
- Mamba-Codestral-7B-v0.1: official publisher repository metadata ↗huggingface.co
- 0.1: publisher model card at pinned revision ↗huggingface.co
- Codestral Mamba — official release ↗mistral.ai