ASTRAI-labs/pluto-nano-0.5-base
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ASTRAI Pluto Nano 0.5 — BASE
Pre-identity / pre-final-preference checkpoint of Pluto Nano 0.5.
This is the v11 checkpoint before identity SFT, ORPO, and KTO-math. Use this as the starting point if you want to fine-tune your own identity, style or preference on top of Pluto Nano.
For the production-aligned model, use pluto-nano-0.5.
Architecture
- 1 B total / ~50 M active per token (35 experts, top-1 MoE)
- GQA 6 query / 2 KV heads
- 16 layers, hidden 384, expert intermediate 1536
- Tokenizer: custom 32 k BPE
- Languages: EN, PT, ES, ZH, HI
- Context: 4096
Training
- Pretrain: 13 B tokens multilingual
- Distill v1/v2 (frontier models)
- Recovery CPT + Wikipedia knowledge boost
- Second Distill (e1 best): reasoning + chat + QA + replay buffer, 30 M tokens
- Trained entirely on RTX 3060 12 GB
- Total wall-clock: ~2 weeks
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
tok = AutoTokenizer.from_pretrained("ASTRAI-labs/pluto-nano-0.5-base", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
"ASTRAI-labs/pluto-nano-0.5-base",
trust_remote_code=True,
torch_dtype=torch.bfloat16,
).cuda()License
ASTRAI Closed License. See pluto-nano-0.5 for full terms.
