👁 MosaicML
MosaicML
MPT-30B-Instruct
Legacy
May 2023Released8K tokensContextApache 2.0License50 GoodQuality
MPT-30B-Instruct (30B parameters) requires approximately 46.8 GB of VRAM with Q5_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 54 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run MPT-30B-Instruct on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "mosaicml/mpt-30b-instruct" \
--hf-file "mpt-30b-instruct-Q5_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters30B
Architecturedense
Context8K tokens
Modalitytext
Min RAM11.7 GB
Rec. RAM21.6 GB (Q5_K_M)
LicenseApache 2.0
FamilyMPT
✓ Chat✓ Reasoning
About this model
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Your hardware
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Quick picks
Best budgetA
MacBook Pro M4 Max 96GB~$2,499 — 28 tok/s
Best overallA
NVIDIA H100 80GB~$40,000 — 133 tok/sBest hardware
Top picks for MPT-30B-Instruct
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | — |
Q3_K_S | 3 | 14.7 GB | Low | — |
NVFP4 | 4 | 16.8 GB | Medium | — |
Q4_K_M | 4 | 18.3 GB | Medium | — |
Q5_K_M | 5 | 21.6 GB | High | — |
Q6_K | 6 | 24.6 GB | High | — |
Q8_0 | 8 | 32.1 GB | Very High | — |
F16 | 16 | 61.5 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights21.6 GB
KV Cache23.4 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — MPT-30B-Instruct
See also