deepseek-v4-flash-0731-spark
deepseek-aimittext

deepseek-v4-flash-0731-spark

Updated Oct 31, 2026
Parameters
60.3B
Context
1,048,576
License
mit
Updated
Oct 31, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Too big for 24 GB at any quant
0 of 4 quantizations fit deepseek-v4-flash-0731-spark with real runtime overhead.
Q4_K_M
35 GB
Q5_K_M
43 GB
Q8_0
65 GB
FP16
121 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve 0xSero/deepseek-v4-flash-0731-spark

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Deep dive

Notes, sources, and the full write-up

deepseek-v4-flash-0731-spark is a 60.3B-parameter mit model from 0xSero. At Q4_K_M it needs roughly 35 GB of VRAM, placing it in the 24–48 GB hardware tier.

Popularity

deepseek-v4-flash-0731-spark has 217,458 downloads in the last month on HuggingFace and 51 likes.

Frequently asked

Quick answers to common questions

How much VRAM does deepseek-v4-flash-0731-spark need?

deepseek-v4-flash-0731-spark with 60.3B parameters needs approximately 35 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is deepseek-v4-flash-0731-spark better than other deepseek-ai models?

deepseek-v4-flash-0731-spark has 60.3B parameters with 1,048,576 context - a strong choice for general use.

What license is deepseek-v4-flash-0731-spark under?

deepseek-v4-flash-0731-spark is released under the mit license, making it suitable for most commercial and personal projects.

What hardware runs deepseek-v4-flash-0731-spark well?

With 60.3B parameters, deepseek-v4-flash-0731-spark requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for deepseek-v4-flash-0731-spark?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~43 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can deepseek-v4-flash-0731-spark's context window handle?

deepseek-v4-flash-0731-spark supports a 1,048,576-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with deepseek-v4-flash-0731-spark?

deepseek-v4-flash-0731-spark competes with other 30B–90B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec