mistralai/mistral-inferenceArchived

Features

• Large Language Models - Runs a pretrained large language model on a GPU to generate text from prompts.
• Inference Libraries - Provides the core library for loading and running Mistral models on GPU with token streaming.
• Weight Loaders - Loads a Mistral large language model from disk into GPU memory for text generation.
• Local Inference Packages - Runs model inference locally on GPU for offline predictions on private data.
• Inference Libraries - Provides the core library for running Mistral models on GPU with token streaming.
• Weight Loaders - Loads pretrained Mistral model weights from local disk or remote registry into GPU memory.
• Pretrained Model Loading - Loads pretrained language models and adapts their vocabularies for inference.
• GPU Weight Loading - Loads pretrained model parameters from local files into GPU memory for inference.
• Local LLM Execution - Loads a Mistral large language model onto a GPU and executes it for text generation.
• Prompt-Based Text Generation - Feeds a prompt to a loaded model and produces tokens one by one on a GPU.
• Autoregressive Text Generation - Generates text token-by-token by feeding previous outputs back into the model decoder.
• Streaming Text Generation - Delivers large language model outputs incrementally for real-time interactive experiences.
• Token Stream Generators - Outputs each generated token immediately via a generator interface for real-time display.
• Token Streaming - Delivers AI model generated tokens and tool execution progress to the user interface in real time.
• GPU-Accelerated Computation - Offloads mathematical operations to graphics hardware for high-performance numerical processing.
• AI Safety Guardrails - Detects model jailbreaks, moderates content, and enforces safety policies.
• Function Calling Interfaces - Formats prompts with tool definitions so the model outputs structured function calls.
• Image-Text Prompt Inferences - Generates descriptive or conversational responses from image-text prompts.
• Chat Model Interfaces - Provides a command-line session that accepts user prompts and streams model responses.
• On-Demand Model Fetching - Downloads model weights from a remote repository on demand for local inference.
• Multimodal Prompting - Accepts image URLs alongside text prompts to generate visual descriptions or reasoning.
• Code Completion - Accepts a code-completion prefix and suffix, then fills in the missing middle segment.
• Interactive Model Inference Sessions - Starts a command-line session that accepts user prompts and streams model responses conversationally.
• Docker Container Deployments - Packages the model and its dependencies into a Docker image for easy deployment.
• Content Guardrails - Enforces safety policies and content moderation on generated text streams.
• Output Guardrails - Scans generated text against predefined content policies and blocks or flags policy violations.
• Model Safety Filters - Blocks or sanitizes model outputs based on custom safety policies.

Star history