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zephyr 7b beta Mistral 7B Instruct v0.2 (7B parameters) requires approximately 6.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 8 GB of VRAM.
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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 | — |
Hardware compatibility
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Memory breakdown
Frequently asked questions
zephyr 7b beta Mistral 7B Instruct v0.2 (7B parameters) requires approximately 6.6 GB of VRAM with Q4_K_M quantization. Lower quantizations like Q4_K_M use less memory but may reduce quality.
Yes, Intel Arc A580 8GB can run zephyr 7b beta Mistral 7B Instruct v0.2 with a compatibility score of 52/100. It provides 8 GB of memory and achieves approximately 58.8 tokens per second.
The recommended quantization for zephyr 7b beta Mistral 7B Instruct v0.2 is Q4_K_M, which offers the best balance between model quality and memory efficiency. Higher quantizations preserve more quality but require more VRAM.
The top recommended hardware for zephyr 7b beta Mistral 7B Instruct v0.2: RTX 3080 10GB (score: 56/100), RTX 2080 Ti 11GB (score: 56/100), GTX 1080 Ti 11GB (score: 55/100). These provide the best combination of memory, bandwidth, and compute for running this model locally.
Yes, zephyr 7b beta Mistral 7B Instruct v0.2 is well-suited for chat. It was designed with these use cases in mind.
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