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Mistral
Mistral 7B Instruct v0.3
Legacy
2.9MDownloads2.7KLikesMay 2024Released8K tokensContextApache 2.0License31 BasicQuality
Mistral 7B Instruct v0.3 (7B parameters) requires approximately 8.0 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 10 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Mistral 7B Instruct v0.3 on your machine.
Run
lms load Mistral-7B-Instruct-v0.3 && lms server startQuick specs
Parameters7B
Architecturedense
Context8K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyMistral
✓ Chat✓ Reasoning
About this model
- •Extended vocabulary to 32768
- •Supports v3 Tokenizer
- •Supports function calling
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | — |
Q3_K_S | 3 | 3.4 GB | Low | — |
NVFP4 | 4 | 3.9 GB | Medium | — |
Q4_K_M | 4 | 4.3 GB | Medium | — |
Q5_K_M | 5 | 5.0 GB | High | — |
Q6_K | 6 | 5.7 GB | High | — |
Q8_0 | 8 | 7.5 GB | Very High | — |
F16 | 16 | 14.3 GB | Maximum | — |
Quality benchmarks
Mistral 7B Instruct v0.3 benchmark scores
Reasoning
MMLU-Pro64.1%
GPQA Diamond3.9%
MATH-5003.9%
ARC Challenge83.6%
General
Chatbot Arena—
IFEval54.7%
Source: community · 2024-05-22
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights4.3 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Mistral 7B Instruct v0.3
See also