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LLMs ·

DeepSeek V2.5 1210

Parameters
236B (21.0B active)
Architecture
Mixture of experts
Max context
160K tokens
License
deepseek
Released
2024-12

How to run it

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

huggingface.co/bartowski/DeepSeek-V2.5-1210-GGUF (opens in a new tab)

ollama run hf.co/bartowski/DeepSeek-V2.5-1210-GGUF

Original weights · Hugging Face

Full-precision files from DeepSeek, for fine-tuning, vLLM, Transformers.

huggingface.co/deepseek-ai/DeepSeek-V2.5-1210 (opens in a new tab)

No sign-in needed.

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

Memory needed

Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.

KV cache: latent (MLA) KV cache.

Quantization Quality Weights Total at 8K context Total at 32K context Download
Q2_K Low 94.3 GB 95.5 GB 97.2 GB GGUF · folder (opens in a new tab)
Q3_K_M Low 116 GB 117 GB 118 GB GGUF · folder (opens in a new tab)
Q4_K_M Good 144 GB 145 GB 147 GB GGUF · folder (opens in a new tab)
Q5_K_M High 167 GB 169 GB 170 GB GGUF · folder (opens in a new tab)
Q6_K High 193 GB 194 GB 196 GB GGUF · folder (opens in a new tab)
Q8_0 Very high 250 GB 251 GB 253 GB GGUF · folder (opens in a new tab)
F16 Full 471 GB 473 GB 474 GB Original weights (opens in a new tab)

Best hardware for DeepSeek V2.5 1210

Grade · points Hardware Quant Memory Speed Fit
81 ptsGreat (A) · 81 of 100 points: Model quality 30.8/45, Memory fit 25.0/25, Speed 10.8/15, Memory use 15.0/15 Apple M3 Ultra (256 GB) Q4_K_M 160 GB / 192 GB 20.6 tok/s Runs well
78 ptsGreat (A) · 78 of 100 points: Model quality 27.2/45, Memory fit 24.0/25, Speed 12.1/15, Memory use 15.0/15 Apple M2 Ultra (192 GB) Q3_K_M 128 GB / 144 GB 26.0 tok/s Tight fit
77 ptsGreat (A) · 77 of 100 points: Model quality 30.8/45, Memory fit 25.0/25, Speed 10.8/15, Memory use 10.6/15 Apple M3 Ultra (512 GB) Q4_K_M 176 GB / 384 GB 20.6 tok/s Runs well
70 ptsGood (B) · 70 of 100 points: Model quality 22.7/45, Memory fit 24.0/25, Speed 8.6/15, Memory use 15.0/15 NVIDIA GB10 (128 GB) Q2_K 105 GB / 115 GB 13.1 tok/s Tight fit
62 ptsGood (B) · 62 of 100 points: Model quality 22.7/45, Memory fit 10.0/25, Speed 14.9/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell Q2_K 100 GB / 96.0 GB 39.6 tok/s Runs with offload
58 ptsGood (B) · 58 of 100 points: Model quality 22.7/45, Memory fit 10.0/25, Speed 10.4/15, Memory use 15.0/15 Apple M4 Max (128 GB) Q2_K 103 GB / 96.0 GB 19.2 tok/s Runs with offload
54 ptsUsable (C) · 54 of 100 points: Model quality 22.7/45, Memory fit 10.0/25, Speed 7.1/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) Q2_K 103 GB / 96.0 GB 9.0 tok/s Runs with offload

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.