GreenBitAI/Qwen3-30B-A3B-Instruct-2507-layer-mix-bpw-5.0
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GREENBITAI
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Low-bit neural networks, Edge AI, sustainable ML
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NicoNicoÂ
published
a
model
12 days ago
NicoNicoÂ
updated
a
model
about 1 month ago
NicoNicoÂ
published
a
model
about 1 month ago
NicoNicoÂ
updated
a
model
about 1 month ago
NicoNicoÂ
published
a
model
about 1 month ago
NicoNicoÂ
updated
2
models
about 2 months ago
NicoNicoÂ
published
2
models
about 2 months ago
yanghaojinÂ
posted
an
update
2 months ago
Post
249
I’m excited to share this article https://huggingface.co/blog/yanghaojin/greenbitais-4-bit-models-redefine-ai-efficiency, showcasing the power of low-bit small models in programming tasks. 🚀 Stay tuned—the next post will dive into test cases for small model–driven agentic applications!
yanghaojinÂ
posted
an
update
2 months ago
Post
167
Our new blog post Smaller Models, Smarter Agents 🚀 https://huggingface.co/blog/yanghaojin/greenbit-3-bit-stronger-reasoning
DeepSeek’s R1-0528 proved that 8B can reason like 235B. Anthropic showed that multi-agent systems boost performance by 90%. The challenge? Both approaches burn massive compute and tokens.
💡 GreenBitAI cracked the code:
We launched the first 3-bit deployable reasoning model — DeepSeek-R1-0528-Qwen3-8B (3.2-bit).
✅ Runs complex multi-agent research tasks (e.g. Pop Mart market analysis)
✅ Executes flawlessly on an Apple M3 laptop in under 5 minutes
✅ 1351 tokens/s prefill, 105 tokens/s decode
✅ Near-FP16 reasoning quality with just 30–40% token usage
This is how extreme compression meets collaborative intelligence — making advanced reasoning practical on edge devices.
DeepSeek’s R1-0528 proved that 8B can reason like 235B. Anthropic showed that multi-agent systems boost performance by 90%. The challenge? Both approaches burn massive compute and tokens.
💡 GreenBitAI cracked the code:
We launched the first 3-bit deployable reasoning model — DeepSeek-R1-0528-Qwen3-8B (3.2-bit).
✅ Runs complex multi-agent research tasks (e.g. Pop Mart market analysis)
✅ Executes flawlessly on an Apple M3 laptop in under 5 minutes
✅ 1351 tokens/s prefill, 105 tokens/s decode
✅ Near-FP16 reasoning quality with just 30–40% token usage
This is how extreme compression meets collaborative intelligence — making advanced reasoning practical on edge devices.
NicoNicoÂ
published
a
model
3 months ago
NicoNicoÂ
updated
2
models
3 months ago
NicoNicoÂ
published
2
models
3 months ago
NicoNicoÂ
updated
2
models
3 months ago
NicoNicoÂ
published
a
model
3 months ago
NicoNicoÂ
updated
a
model
5 months ago