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ageyko/SmolLM3-3B-a1lamp-4bit
SmolLM3-3B-a1lamp-4bit is a text generation model from ageyko. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as apache-2.0.
4-bit MLX quantization of SmolLM3-3B with the A1-lamp Task-LoRA fused into the base weights. Research artifact for an on-device LLM personalization study (two-stage LoRA: a shared Task-LoRA + a per-user User-LoRA trai…
Downloads · 30 days
11
10% of all-time downloads
All-time downloads
106
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3.1B
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How the weights are stored.
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From the Hugging Face model README
4-bit MLX quantization of SmolLM3-3B with the A1-lamp Task-LoRA fused into the base weights. Research artifact for an on-device LLM personalization study (two-stage LoRA: a shared Task-LoRA + a per-user User-LoRA trained on-device).
HuggingFaceTB/SmolLM3-3B (bf16, frozen).system slot. Merged into the base with PEFT merge_and_unload, then
quantized to 4-bit (4.5 bits/weight) via mlx_lm convert.Thinking mode is off in the study's regime (SmolLM3 emits <think>…</think>;
disable via the chat template's /no_think).
Load with MLX:
from mlx_lm import load, generate
model, tokenizer = load("ageyko/SmolLM3-3B-a1lamp-4bit")