GLOBALATLAS AI · DEDICATED INFERENCE

Mistral-7B-Instruct-v0.3

Mistral-7B-Instruct-v0.3: self-hosted inference configuration, BF16 weights, 8192-token context, GPU memory and server selection.

Configuration

Instruction-tuned text model with the v3 tokenizer. Function calling needs a compatible chat template and application-side tool execution.

Model: mistralai/Mistral-7B-Instruct-v0.3
Parameters / weights: 7.25B · — GB
Weight format: BF16
Context / concurrency: 8192 / 1
Checkpoint context limit: 32768
Estimated GPU memory: Requires an updated assessment
Planned RAM / disk: ≥ 32 GB / ≥ 100 GB
Serving runtime: vLLM · HTTP API
License: Apache-2.0

The estimate includes BF16 weights, KV cache, 2 GB workspace and 15% GPU headroom. RAM and disk are GlobalAtlas planning requirements, not the developer’s official minima. Disk type, drivers and runtime are confirmed before installation. The 8192-token serving budget includes input and output; a longer context or more simultaneous requests requires resizing and a load test.

Original model card

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