Mistral Small 4 119B-A6B GGUF — Quantized by BatiAI
Mistral's unified open-weight model — reasoning + multimodal + agentic coding in one. 119B Mixture-of-Experts with only 6B active per token, so it runs at small-model speed while keeping frontier quality. Apache 2.0 (fully commercial-friendly, no gating).
Quantized directly from official Mistral weights — not a re-quant of someone else's GGUF. Signed with BatiAI metadata for BatiFlow.
Quick Start
ollama run batiai/mistral-small-4:q4
Available Quantizations
| Quant | Size | RAM target | Recommended For |
|---|---|---|---|
| Q3_K_M | 54GB | 64GB Mac | Compact |
| Q4_K_M | 68GB | 96GB Mac | Recommended (balance) |
| Q5_K_M | 79GB | 128GB Mac | Max quality |
119B total params → these are for 64GB+ Macs (M-series Max/Ultra). The 6B active means inference is fast despite the size. IQ3/IQ4 (smaller, imatrix) can be added on request.
RAM Requirements
| Your Mac RAM | Q3 (54GB) | Q4 (68GB) | Q5 (79GB) |
|---|---|---|---|
| 64GB | ✅ tight | ❌ | ❌ |
| 96GB | ✅ | ✅ | ❌ tight |
| 128GB | ✅ | ✅ | ✅ |
| 192GB+ | ✅ | ✅ | ✅ comfortable |
Why Mistral Small 4?
- One model, three jobs — reasoning, multimodal understanding, and agentic coding unified (no model-switching).
- 6B active / 119B total MoE — frontier-class capability at the inference speed/cost of a small model.
- Apache 2.0 — no license friction, no gating. Build commercial products freely.
- Native llama.cpp support — Mistral ships official GGUF tooling; arch (
mistral3) is mainstream.
Why BatiAI Quantization?
- Original-source — quantized straight from Mistral's official weights, not a copy of a third-party GGUF.
- BatiAI-signed —
general.author: BatiAI,general.url: https://flow.bati.ai. - Mac-tuned selection — quant sizes chosen for real Apple Silicon RAM tiers.
Technical Details
- Original Model: mistralai/Mistral-Small-4-119B-2603
- Architecture:
mistral3MoE, 119B total / ~6B active per token - License: Apache 2.0
- Quantized with: llama.cpp (Q8_0 intermediate → K-quants,
--allow-requantize) - Quantized by: BatiAI
- Note: YaRN config verified clean (no
yarn_log_multiplierbug, unlike the earlier Medium 3.5 release).
About BatiFlow
BatiFlow — free, on-device AI automation for Mac. 5MB app, 100% local, unlimited. 60+ tools.
License
Quantized from mistralai/Mistral-Small-4-119B-2603. License: Apache 2.0.
Benchmarks
Mac 하드웨어 실측 벤치 대기 중 (bench.sh). 측정 후 자동 갱신.