Mistral Large 123B Instruct - Details

Mistral Large 123B Instruct is a large language model developed by Mistral Ai, featuring 123b parameters. It operates under the Mistral AI Research License (Not Found). Designed for instruct tasks, the model excels in advanced reasoning, comprehensive knowledge, and coding capabilities.

Mistral Large 123B Instruct is an advanced dense Large Language Model (LLM) with 123B parameters, designed for research and non-commercial use. It excels in state-of-the-art reasoning, knowledge, and coding capabilities, supporting multi-lingual operations and agentic functions. The model features a 128k context window, enabling complex tasks, and includes native function calling and JSON outputting. It operates under the Mistral AI Research License (Not Found).

Mistral Large 123B Instruct features 123b parameters, placing it in the very large models category, which enables advanced reasoning and handling of complex tasks but requires substantial computational resources. Its 128k context length falls under very long contexts, allowing it to process extensive texts efficiently while demanding significant memory and processing power. This combination makes the model suitable for intricate research and specialized applications where depth and scale are critical.

• Parameter Size: 123b
• Context Length: 128k

Mistral Large 123B Instruct is a versatile model with 123b parameters and a 128k context length, designed for research and development in natural language processing, code generation, and software development assistance. Its multilingual support for languages like German, English, Chinese, and others opens up possible applications in cross-lingual tasks, such as content creation, translation, or localized task automation. The agentic capabilities could enable possible uses in dynamic workflows, where the model might autonomously handle complex, multi-step processes. However, these possible uses require thorough exploration to ensure alignment with specific goals and constraints. The model’s large context window and advanced reasoning make it suitable for possible scenarios involving extensive text analysis or intricate problem-solving.

• research and development in natural language processing
• code generation and software development assistance
• task automation with agentic capabilities

Mistral Large 123B Instruct is a powerful model with 123b parameters and a 128k context length, which could enable possible applications in areas like advanced natural language processing research, where its reasoning and multilingual capabilities might support possible tasks such as cross-lingual content analysis or dialogue system development. Its agentic functions could also be possible tools for automating complex workflows, such as data-driven decision-making processes or iterative problem-solving in non-critical domains. The model’s code generation and software development assistance features might offer possible benefits for prototyping or optimizing code across multiple programming languages. Additionally, its multilingual support could facilitate possible uses in creating localized content or enabling communication between diverse language groups. Each of these possible applications requires thorough evaluation and testing to ensure alignment with specific requirements and constraints.

• research and development in natural language processing
• code generation and software development assistance
• task automation with agentic capabilities
• cross-lingual content analysis or communication support

Mistral Large 123B Instruct’s medium q4 version requires significant hardware, such as multiple GPUs with at least 48GB VRAM (e.g., A100, RTX 4090/6000 series) to balance precision and performance. This setup ensures efficient execution while maintaining model accuracy. Users should verify their system’s VRAM, cooling, and power supply to meet these demands.

• fp16, q2, q3, q4, q5, q6, q8

Mistral Large 123B Instruct is a high-capacity large language model with 123b parameters and a 128k context length, designed for advanced reasoning, multilingual tasks, and agentic functions. It supports research and development in natural language processing, code generation, and task automation, with potential applications across diverse domains requiring complex problem-solving and cross-lingual capabilities.

Huggingface Model Page
Ollama Model Page