Mistral Small 24B Instruct 2501 Alternatives

Mistral-Small-3.2-24B-Instruct-2506 is an instruction-tuned 24 billion parameter model released by Mistral AI. It supports advanced chat, tool calling, and reasoning capabilities. The model is available as open weights on Hugging Face and is intended for developers building sophisticated AI applications that require strong performance in a mid-sized model.

Mistral Small 3.1 24B Instruct is a 24-billion-parameter language model developed by Mistral AI. It is designed for instruction following, chat, and general text generation tasks. The model weights are publicly available on Hugging Face, allowing developers to run inference locally or on their own infrastructure using popular frameworks such as transformers or vLLM. It supports a chat template and is suitable for both research and production applications where open-weight models are preferred.

This is an int8 quantized version of Mistral Small 3.2 24B Instruct, optimized for local inference. It includes a chat template and supports tool calling, making it suitable for building AI assistants and agents. The model is available on Hugging Face and can be used with transformers or llama.cpp for efficient on-device or server deployment.

This repository hosts an AWQ 4-bit quantized version of the Mistral Small 24B Instruct 2501 model. It allows users to run this large instruction-tuned language model locally with significantly lower VRAM requirements than the original. The model supports the standard Mistral chat template and is compatible with the Hugging Face Transformers library.

Mistral-7B-Instruct-v0.1 is an instruct-tuned version of Mistral AI's 7B parameter language model. It uses a specialized chat template for conversational interactions and is designed for high performance on instruction-following tasks. The model is widely used in the open-source community and can be loaded via the Transformers library for local inference or hosted deployment.

Mistral-7B-Instruct-v0.3 is an open-source, instruction-tuned large language model for text generation and understanding. It supports fine-tuning and efficient inference, making it ideal for AI researchers and developers building NLP applications.

Ministral-3-14B-Instruct-2512 is a 14 billion parameter instruction-tuned model created by Mistral AI. It powers their Le Chat assistant and includes multimodal (vision) capabilities. The model uses FP8 quantization for efficiency and supports advanced chat and tool-use scenarios.

Mistral Large Instruct 2411-AWQ is a community-quantized version of the Mistral Large Instruct 2411 model. It is hosted on Hugging Face by TechxGenus and distributed under Mistral's research license. The model is provided in AWQ format. Access requires agreement to license terms that restrict use to non-commercial research purposes. Commercial entities are not permitted to use or distribute the model internally or externally without obtaining a commercial license from Mistral. Users must include the Mistral Research License if they upload the model or any derivative version to any platform. For commercial applications the license directs users to contact Mistral or employ the Mistral AI API through its platform or approved cloud partners. It is delivered as a repository on the Hugging Face model hub. The page presents a gated access mechanism that collects user information including first name, last name, country, affiliation, and job title before granting download rights. The license text is incorporated directly into the access flow to ensure compliance.

Ministral-3-8B-Instruct-2512 is an 8-billion parameter instruction-tuned language model released on the Hugging Face platform by Mistral AI. It serves as the underlying model for the Le Chat AI assistant and functions as a foundation model for conditional generation tasks. The model uses the Mistral3ForConditionalGeneration architecture with a mistral3 model type. Its configuration includes FP8 quantization that excludes conversion for the vision tower, multi-modal projector, and language modeling head. The tokenizer defines specific tokens for beginning-of-sequence, end-of-sequence, padding, and unknown. A custom Jinja chat template is provided that sets a default system message identifying the model as Ministral-3-8B-Instruct-2512, an LLM created by the French startup Mistral AI headquartered in Paris, which powers Le Chat and whose knowledge cutoff is October 2023. It is hosted as a repository on Hugging Face, allowing download and use through the platform's ecosystem for inference or further development. The page includes standard Hugging Face tags such as mistral-common and indicates the presence of a model card.

Mistral AI's Devstral-Small-2-24B-Instruct-2512 is an open-weight model designed as a CLI coding agent. It enables natural language interaction with local codebases and supports tool use. The model is optimized for software development tasks and is distributed on Hugging Face.

mistralai/Ministral-8B-Instruct-2410 is an 8 billion parameter instruction-tuned language model released by Mistral AI. It is licensed for non-commercial research purposes only. The model is available on Hugging Face and can be used with the Transformers library for local inference or through Mistral's commercial API for production use.

Ministral-3-3B-Instruct-2512-BF16 is a 3 billion parameter instruction-tuned language model from Mistral AI. Optimized for efficiency, it powers conversational assistants and supports tool use. The model is distributed in BF16 precision on Hugging Face for developers seeking lightweight yet capable open-source LLMs.

This repository contains a version of Mistral AI's Mistral-Nemo-Instruct-2407 model, likely repackaged or quantized by the community user SillyTilly. It includes a chat template for conversational use and is intended for local inference through the Hugging Face transformers library.

Mistral-Nemo-Instruct-2407 is a 12-billion-parameter instruction-tuned language model from Mistral AI. It excels at following complex instructions, reasoning, and using tools through function calling. The model uses a specialized tokenizer and chat template optimized for conversational and agentic use cases. It is fully open and can be run locally or through hosted inference providers.

This Hugging Face repository hosts GGUF quantized versions of Mistral-7B-Instruct-v0.3. It enables efficient local execution of the 7-billion parameter instruction-tuned language model using tools like llama.cpp or Ollama. Multiple quantization levels are provided to balance performance and resource usage on CPUs and GPUs.

Mistral-Small-4-119B-2603 is an open-source foundation language model hosted on Hugging Face, designed for text generation and research applications. It provides accessible weights and API endpoints for developers and AI researchers.

This is a quantized version of Mistral-7B-Instruct-v0.2 using the AWQ method to 4-bit precision. It enables efficient local inference of the instruction-tuned Mistral model on consumer hardware with reduced VRAM usage while maintaining high performance. The model is hosted on Hugging Face and can be used with the Transformers library or compatible inference engines.

Mistral-Small-4-119B-2603-NVFP4 is an open-source foundation language model hosted on Hugging Face, designed for text generation and research applications. It provides accessible weights and API endpoints for developers and AI researchers.

Mixtral-8x22B-Instruct-v0.1 is an open-weight Mixture-of-Experts model with 141B total parameters (39B active). It is designed for instruction following and outperforms many larger dense models. The model is available on Hugging Face for local or hosted inference.

This is a 4-bit AWQ quantized version of a 24B parameter instruct model derived from the Mistral3 architecture. It is optimized for local inference and excels at coding and technical tasks. The model is distributed on Hugging Face for use with Transformers or compatible inference engines.

Devstral-2-123B-Instruct is a large instruction-tuned model from Mistral AI specifically designed as a coding agent. It powers the Mistral Vibe CLI coding agent and excels at understanding codebases, using tools, and performing software engineering tasks. The model is fully open and available on Hugging Face.

Mistral-7B-v0.3 is the latest iteration of Mistral AI's 7-billion-parameter language model. It is a decoder-only transformer trained on a large corpus and optimized for instruction following and text generation. The model is fully open-weight and can be run locally or deployed via inference engines such as vLLM.

e5-mistral-7b-instruct is an instruction-tuned embedding model derived from Mistral-7B. It achieves strong performance on the MTEB benchmark for tasks including semantic textual similarity, retrieval, and clustering. The model is optimized for turning text into high-dimensional vector representations.

Mistral-Medium-3.5-128B is an open-source large language model developed by Mistral AI. It supports text generation and conversational AI tasks, with open weights available for both local and cloud inference. The model is designed for AI researchers and developers building advanced language applications.

This repository provides GGUF quantized versions of the Mistral-Nemo-Instruct-2407 model. It enables efficient local inference using tools such as llama.cpp. Multiple quantization levels are offered to balance performance and model size for different hardware configurations.

Mistral-7B-Instruct-v0.2 Chatbot is a web-based conversational AI tool that allows users to interact with the Mistral-7B language model. Users can enter questions or prompts and receive detailed, AI-generated responses, making it useful for developers and individuals seeking automated assistance.

mistral-nemo-instruct-2407-awq is an open-source large language model designed for instruction-following and text generation. It can be deployed locally or via API, supporting developers and researchers in building AI-powered applications.