https://preview.redd.it/h7f9cxvflvoh1.png?width=950&format=png&auto=webp&s=79d865fe8d864a0dc78fa20a6532dfd6e60ea6d0

About 40~% cheaper

OpenCode Go

it's up now！

deepseek-ai/DeepSeek-V4-Flash-0731 · Hugging Face

The text is gone. we might heading to server reopen soon.

There are rumor of moving servers and reopening at April 10 in China.

New V3!

https://preview.redd.it/wjoiebx5ti3f1.jpg?width=1280&format=pjpg&auto=webp&s=11bcdcd461259d9329165669759f04fb531ee79c

Updated V3 as well

https://preview.redd.it/bjulgxp0ti3f1.jpg?width=1280&format=pjpg&auto=webp&s=1cc6b4bced8b86c8ab1fe761637e70138e3b9fbf

MLA + FA now only uses K-cache - 47% saving on KV-cache size (only for use with #13435 for now) by jukofyork · Pull Request #13529 · ggml-org/llama.cpp

llama_kv_cache_unified: kv_size = 163840, type_k = 'f16', type_v = 'f16', n_layer = 61, can_shift = 0, padding = 256

llama_kv_cache_unified: CUDA0 KV buffer size = 10980.00 MiB

llama_kv_cache_unified: KV self size = 10980.00 MiB, K (f16): 10980.00 MiB, V (f16): 0.00 MiB

The full context of 160k tokens now takes up less than 11GB without kquants

https://github.com/huggingface/blog/blob/main/1_58_llm_extreme_quantization.md

https://huggingface.co/blog/1_58_llm_extreme_quantization

https://github.com/mit-han-lab/nunchaku/discussions/236

🚀 Performance

• First-Block-Cache: Up to 2× speedup for 50-step inference and 1.4× for 30-step. (u/ita9naiwa )
• 16-bit Attention: Delivers ~1.2× speedups on RTX 30-, 40-, and 50-series GPUs. (@sxtyzhangzk )

🔥 LoRA Enhancements

• No conversion needed — plug and play. (@lmxyy )
• Support for composing multiple LoRAs. (@lmxyy )
• Compatibility with Fluxgym and [FLUX-tools](htt

https://github.com/deepseek-ai/open-infra-index/blob/main/202502OpenSourceWeek/day_6_one_more_thing_deepseekV3R1_inference_system_overview.md

https://huggingface.co/deepseek-ai/DeepSeek-R1

https://huggingface.co/deepseek-ai/DeepSeek-R1-Zero

I am waiting for this. hopfully today

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It does seems like it has heater build in, but i am not sure anyone would upgrade