Mistral-7B-Instruct-v0.3 is listed for local download in Ollama. A separately observed community Q4_K_M GGUF gives an estimated memory budget of about 7 GB; actual use depends on runtime and context settings.
mistralai/Mistral-7B-Instruct-v0.3
Mistral-7B-Instruct-v0.3 is published by mistralai on Hugging Face. We have not written a summary yet; see the model card ↗.
The model config architecture is listed in this runtime registry. This is family/architecture evidence only; exact checkpoint loading, model-specific configuration, hardware, and generation were not tested.
Checked the exact model config and the runtime architecture registry; no matching declared architecture was found. This is unknown, not evidence of incompatibility.
The model config architecture is listed in this runtime registry. This is family/architecture evidence only; exact checkpoint loading, model-specific configuration, hardware, and generation were not tested.
Observed artifact size plus 20% headroom and 1.5 GB runtime allowance. Fit is an estimate; compatibility, speed, context length and hardware have not been tested.
Observed artifact size plus 20% headroom and 1.5 GB runtime allowance. Fit is an estimate; compatibility, speed, context length and hardware have not been tested.
Observed artifact size plus 20% headroom and 1.5 GB runtime allowance. Fit is an estimate; compatibility, speed, context length and hardware have not been tested.
Observed artifact size plus 20% headroom and 1.5 GB runtime allowance. Fit is an estimate; compatibility, speed, context length and hardware have not been tested.
Memory estimates are the observed file size plus fixed headroom (20% plus 1.5 GB runtime allowance); real needs also depend on context length, KV cache and runtime settings. Fit is an estimate; it does not establish runtime compatibility, speed, context length, or hardware performance. Text-weights-only estimates do not include a projector or total vision memory where unknown.
Terms: a quant is a lower-precision version of the weights; GGUF is a file format used by llama.cpp and compatible apps; MLX targets Apple silicon; vLLM is a model-serving engine for NVIDIA GPUs; the KV cache is stored attention state that grows with context length. Terms explained ↗
OBSERVED FILES
Quant uploads
Sizes and file groups come from the listed uploader repositories. A size is marked as an estimated fit only for a complete observed GGUF quant group.