Mica-v0.1-4B
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GITHUB · launched Sep 25, 2026 · 26 upvotes (top 31%) · 5 views
Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
- decision-model
- jev
- llama-cpp
- qwen
- typesafe
Visit website ↗ Source listing ↗
More like this: all 191 launches in large language models →
Could you build this?
No Mica-v0.1-4B is a 4-billion parameter language model, which requires extensive compute infrastructure, large curated datasets, and deep ML pretraining/fine-tuning expertise.
What it would actually take: Creating a competitive 4B open-weights model requires access to a GPU cluster (e.g., hundreds of H100s/A100s), petabyte-scale token pipelines, and distributed training frameworks like Megatron-LM or DeepSpeed. It requires deep research engineering talent to handle loss divergence, learning rate scheduling, context window extension, and synthetic data curation.
Competitors
Other products that read as similar to this one : 185 launches clear the similarity bar, closest 8 shown.
Attention rank: #47 of 186 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 309 days after the earliest competitor.
- mva · github · 2026-09-15 · 8 upvotes · similarity 0.50
- vanta-v2.1.0 · github · 2026-10-28 · 102 upvotes · similarity 0.42
- imersao-arq-soft-ia-v1 · github · 2026-09-23 · 16 upvotes · similarity 0.41
- HTML1_Lexa · github · 2026-09-30 · 15 upvotes · similarity 0.40
- linear-A · github · 2026-09-14 · 8 upvotes · similarity 0.40
- zoom-ms-midistomp · github · 2026-10-07 · 10 upvotes · similarity 0.40
- lua · github · 2026-11-01 · 18 upvotes · similarity 0.39
- MemT-1.0 · github · 2026-10-19 · 369 upvotes · similarity 0.38
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