DeepSeek V4 Flash
290.9B total, 20.4B active · 1024k context · mit · released 2026-04-22
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What to run it on in India
Fully in memory at 8k context, priced at retailers today.
Something we price holds it fully in memory, but none reaches 15 tok/s, our bar for recommending it. The table below has the speeds.
All hardware that runs it
Everything we price, best value first. Two cards split the model by layers.
| Hardware | Quant | Fits | Decode | Price | tok/s per 1,000 |
|---|---|---|---|---|---|
| Mac Studio M4 Max 128GB | UD-Q2_K_XL | fits | 28 tok/s | – | – |
| Framework Desktop Ryzen AI Max+ 395 128GB | UD-Q2_K_XL | fits | 11 tok/s | – | – |
| Mac Studio M3 Ultra 512GB | UD-Q4_K_XL | fits | 28 tok/s | – | – |
| NVIDIA DGX Spark 128GB | UD-Q2_K_XL | fits | 14 tok/s | – | – |
| GMKtec EVO-X2 Ryzen AI Max+ 395 128GB | UD-Q2_K_XL | fits | 11 tok/s | – | – |
| Mac Studio M3 Ultra 256GB | UD-Q4_K_XL | fits | 28 tok/s | – | – |
| NVIDIA RTX PRO 6000 Blackwell | UD-Q2_K_XL | fits | 89 tok/s | – | – |
| ASUS Ascent GX10 128GB | UD-Q2_K_XL | fits | 14 tok/s | – | – |
32 other cards and machines we price cannot hold it at this context.
Memory needed
Weights, KV cache and runtime buffers at each context length (KV cache at fp16).
| Quant | File | @8k | @32k | @64k | @128k |
|---|---|---|---|---|---|
| UD-Q4_K_XLgguf | 144.4 GB | 145.9 GB | 148.0 GB | 150.9 GB | 156.6 GB |
| UD-Q2_K_XLgguf | 90.2 GB | 91.6 GB | 93.8 GB | 96.6 GB | 102.4 GB |
| UD-Q3_K_Mgguf | 119.3 GB | 120.7 GB | 122.9 GB | 125.7 GB | 131.5 GB |
| mlx-4bitmlx | 141.1 GB | 142.5 GB | 144.7 GB | 147.5 GB | 153.3 GB |
Run it
Copy a command for the runtime you use.
- UD-Q4_K_XL
- Ollama
ollama run hf.co/unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL - LM Studio
lms get unsloth/DeepSeek-V4-Flash-0731-GGUF@ud-q4_k_xl - llama.cpp
llama-server -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
- Ollama
- UD-Q2_K_XL
- Ollama
ollama run hf.co/unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q2_K_XL - LM Studio
lms get unsloth/DeepSeek-V4-Flash-0731-GGUF@ud-q2_k_xl - llama.cpp
llama-server -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q2_K_XL
- Ollama
- UD-Q3_K_M
- Ollama
ollama run hf.co/unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q3_K_M - LM Studio
lms get unsloth/DeepSeek-V4-Flash-0731-GGUF@ud-q3_k_m - llama.cpp
llama-server -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q3_K_M
- Ollama
- mlx-4bit
- LM Studio
lms get mlx-community/DeepSeek-V4-Flash-4bit - MLX
mlx_lm.server --model mlx-community/DeepSeek-V4-Flash-4bit
- LM Studio
Notes
Estimates are approximate. Sparse or compressed attention: KV read per token is estimated as full attention. deepseek_v4 layout is new; verify against measured results.