Laxmi Kant

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New activity in deepseek-ai/DeepSeek-V4.1-Flash 4 days ago

Reading DeepSeek V4.1 Flash's config.json: Where Sparse Attention Lives

❤️🔥 1

#38 opened 4 days ago by

laxmimerit

New activity in ornith-ai/Ornith-1.5-35B-A3B 18 days ago

I Benchmarked on RTX 5090: 271 tok/s generation, 673 tok/s at 8 concurrent, 32 KB/token KV cache

2

#31 opened 18 days ago by

laxmimerit

New activity in Qwen/Qwen3.8-Flash-Next 19 days ago

Run Qwen 3.8 Flash Next (Qwen 4) 180B on CPU Only, No GPU Needed

🔥❤️ 9

3

#29 opened 19 days ago by

laxmimerit

Qwen3.8-Flash-Next (Qwen 4 - Preview) vs 3.8 27B - Architecture Teardown

🔥❤️ 8

6

#22 opened 20 days ago by

laxmimerit

New activity in Qwen/Qwen3.8-27B 26 days ago

Benchmarked Qwen3.8-27B vs Nemotron 3.5 Lightning and Muse Glimmer on 16 hard problems (RTX 5090, Q4_K_M)

🔥❤️ 11

13

#103 opened about 1 month ago by

laxmimerit

New activity in Qwen/Qwen3.8-27B 30 days ago

This model cannot stop thinking

➕🧠 8

5

#113 opened 30 days ago by

xvcy3w

Follow-up: I benchmarked 45 llama.cpp settings on Qwen3.8-27B. The MTP draft head is worth 1.81x, free (RTX 5090, Q4_K_M)

🚀❤️ 9

2

#112 opened 30 days ago by

laxmimerit

Benchmarked Qwen3.8-27B vs Nemotron 3.5 Lightning and Muse Glimmer on 16 hard problems (RTX 5090, Q4_K_M)

🔥❤️ 11

13

#103 opened about 1 month ago by

laxmimerit

New activity in Qwen/Qwen3.8-27B about 1 month ago

Benchmarked Qwen3.8-27B vs Nemotron 3.5 Lightning and Muse Glimmer on 16 hard problems (RTX 5090, Q4_K_M)

🔥❤️ 11

13

#103 opened about 1 month ago by

laxmimerit