tencent/Hy-Memory-30B-A3B
Text Generation ā¢ 30B ā¢ Updated ā¢ 2.15k ā¢ 262
Ibrahim.H
bitsnaps
AI & ML interests
Text mining, sentiment analysis, text summarization
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Remek/basal-omni-1.0-ultraOrganizations
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DeepSeek-V4.1-Flash-1017, running locally on a Mac
Our 4-bit paged build is up: GreenBitAI/DeepSeek-V4.1-Flash-1017-4bit-paged
On one M3 Ultra Mac Studio with gbx:
ā¢ ~22 tok/s standard decode
ā¢ ~44 tok/s on code with DeepSeek's official draft head (1.99Ć)
ā¢ ~33 tok/s on chat with the draft head
Why run 1017: DeepSeek reports 77.0 on DeepSWE v1.1 (up from 74.2) and 42.3 on Terminal-Bench 4.0 (up from 31.2), with shorter outputs (https://api-docs.deepseek.com/news/news261017).
It reads text and images, and plugs straight into Claude Code and Codex; the setup is in the model card. The paged format also loads on Macs with less memory, and on an NVIDIA DGX Spark with experts paged from the SSD;
Engine: https://github.com/GreenBitAI/gbx-lm/releases
Our 4-bit paged build is up: GreenBitAI/DeepSeek-V4.1-Flash-1017-4bit-paged
On one M3 Ultra Mac Studio with gbx:
ā¢ ~22 tok/s standard decode
ā¢ ~44 tok/s on code with DeepSeek's official draft head (1.99Ć)
ā¢ ~33 tok/s on chat with the draft head
Why run 1017: DeepSeek reports 77.0 on DeepSWE v1.1 (up from 74.2) and 42.3 on Terminal-Bench 4.0 (up from 31.2), with shorter outputs (https://api-docs.deepseek.com/news/news261017).
It reads text and images, and plugs straight into Claude Code and Codex; the setup is in the model card. The paged format also loads on Macs with less memory, and on an NVIDIA DGX Spark with experts paged from the SSD;
Engine: https://github.com/GreenBitAI/gbx-lm/releases
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nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB
Image-Text-to-Text ā¢ 22B ā¢ Updated ā¢ 6.82k ā¢ 140
vllm-sr/d3
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MuXodious/Qwen3.8-27B-absolute-heresy
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nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2
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