I trained a 1B LLM from scratch for $315 and open-sourced weights+data
47
SCORE
Tessera-1B is a 1 billion parameter large language model trained from scratch for approximately $315. The model weights and training data are open-sourced and available on Hugging Face for research and development purposes.
Sources (1)
Show HN
2 PTS
Score Breakdown
Traction
raw 2.00 · weight 35%
5.6pts
Novelty
0 days old · weight 20%
20.0pts
Source diversity
1 source · weight 10%
3.3pts
AI quality
raw 52.00 · weight 35%
18.2pts
Interesting cost-efficiency demo with open weights, but 1B params is small by current standards and zero traction signals suggest limited adoption.
Final Score47/100
Similar Products
omnigent
84
SCORE
coreai-models
84
SCORE
T3MP3ST
83
SCORE
skills
82
SCORE
shepherd
80
SCORE
loop-library
79
SCORE
← ALL PRODUCTS© 2026 MARKETHUNT