Mistral 7B on a 16 GB Mac with Ollama
Ollama Modelfile to run Mistral 7B Instruct locally on a 16 GB Mac: Q4 quantization, 8k context, concise answers in English.
| Model | mistral:7b-instruct-q4_K_M |
|---|---|
| Tested hardware | Apple Silicon Mac with 16 GB of memory |
Modelfile
FROM mistral:7b-instruct-q4_K_M PARAMETER num_ctx 8192 PARAMETER temperature 0.3 SYSTEM """You are a helpful assistant. Answer in clear, concise English. If you don't know, say so."""
Launch command
ollama create mistral-en -f Modelfile && ollama run mistral-en
Estimated cost
Input tokens per call : ≈ 191
| Model | Per call | Per 1,000 calls |
|---|---|---|
| Mistral Large · Mistral AI | €0.00008 | €0.08 |
| DeepSeek Flash · DeepSeek | €0.00005 | €0.05 |
| DeepSeek V4 Pro · DeepSeek | €0.00022 | €0.22 |
| GPT-6 Luna · OpenAI | €0.00002 | €0.02 |
| GPT-6 Sol · OpenAI | €0.00034 | €0.34 |
| Claude Sonnet 5.5 · Anthropic | €0.00034 | €0.34 |
| Claude Opus 5.5 · Anthropic | €0.00067 | €0.67 |
| Self-hosted open-source model (Ollama, vLLM) | €0 in API fees (server cost only) | |
Input cost only, excluding the model's answer. Providers' public standard prices (Mistral AI, DeepSeek, OpenAI, Anthropic) converted from USD to euros at the ECB rate of September 29, 2026. Estimate: 1 token ≈ 3.6 characters.
Common to all 3 regions
Created by the author, no outside source.
Commercial use allowed · credit the author · changes allowed.
Text or data only: no access to files, network or commands.
Hosted in France (Scaleway, Paris). No transfer outside the EU.
European Union · 5/5
No personal data.
No training data: no summary required.
United States · 5/5
No personal data.
No training data: no documentation to publish.
China · 5/5
No personal data.
No training data; AI-generated content published in China must be labelled (2025).
Indicative summary as of 30/09/2026, not a legal certification. Method and sources →
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- Identifier
- contextetech--mistral-7b-ollama-mac-16gb
- Type
- Inference configs
- File
- Modelfile
- Format
- MODELFILE
- Size
- 184 bytes
- Encoding
- UTF-8
- Estimated tokens
- ≈ 51
- Language
- English
- License
- MIT
- Commercial use
- Allowed
- Personal data
- None
- Version
- 1.0
- Published on
- October 2, 2026 at 9:54 PM
- Updated on
- October 2, 2026 at 9:54 PM
- Storage
- in database
- Uses
- 0
- Likes
- 0
Modelfile
FROM mistral:7b-instruct-q4_K_M PARAMETER num_ctx 8192 PARAMETER temperature 0.3 SYSTEM """You are a helpful assistant. Answer in clear, concise English. If you don't know, say so."""
Launch command
ollama create mistral-en -f Modelfile && ollama run mistral-en
Create the model (Ollama)
# enregistrez le Modelfile, puis : ollama create mistral-7b-ollama-mac-16gb -f Modelfile ollama run mistral-7b-ollama-mac-16gb
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