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Mincofficial/Sonoma-1.2B-0901
Sonoma-1.2B-0901 is a text generation model from Mincofficial. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as other.
Sonoma-1.2B is the general-availability continuation of Sonoma-1.2B Preview, derived from LiquidAI/LFM2.5-1.2B-Thinking. It was post-trained on an Apple M5 Mac with assistant-only rank-32 LoRA across all 16 model bloc…
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From the Hugging Face model README
Sonoma-1.2B is the general-availability continuation of Sonoma-1.2B Preview, derived from LiquidAI/LFM2.5-1.2B-Thinking. It was post-trained on an Apple M5 Mac with assistant-only rank-32 LoRA across all 16 model blocks, then fused into an MLX model.
| Checkpoint | Assistant-masked held-out loss | Perplexity |
|---|---|---|
| Sonoma-1.2B Preview | 0.934 | 2.544 |
| Sonoma-1.2B GA | 0.707 | 2.028 |
On this fixed local held-out split, the GA continuation reduces loss by 24.3% and perplexity by 20.3% versus the Preview checkpoint. This is a narrow post-training evaluation, not a general benchmark or a comparison with other models.
The same eight-task, temperature-0 test was run with seed 20260901 and a
384-token cap on both fused MLX checkpoints:
| Checkpoint | Passed | Accuracy |
|---|---|---|
| Sonoma-1.2B Preview | 1/8 | 12.5% |
| Sonoma-1.2B GA | 3/8 | 37.5% |
This small regression suite is a directional signal only. Full per-task
responses are in eval/ga-behavior-0901.json and
eval/preview-behavior-0901.json.
llama-bench build 8210 (2cd20b72e) on Apple M5, Metal, 99 GPU layers,
three repetitions, 512 prompt tokens, and 128 generated tokens measured
596.8 prompt tokens/sec and 53.0 generated tokens/sec on the Q4_K_M file.
The raw result is in eval/ga-q4-llama-bench.json; throughput varies with
context length, build, and hardware.
The reproducible selected mixture contains 7,998 deduplicated records, with assistant-token masking and a 1,024-token training limit. It draws evenly from Fable 5 Premium, OpenThoughts-114k, Glaive Code Assistant v3, and Dojo Synthetic SFT. Review each source dataset's license and terms before redistribution or use.
model.safetensors: fused MLX weightsadapter/: the final rank-32 LoRA adaptergguf/Sonoma-1.2B-GA-Q4_K_M.gguf: Q4_K_M llama.cpp exporteval/ga-eval.log: independent final held-out evaluationeval/train-ga.log: training and final test logSHA256SUMS: SHA-256 hashes of the release weightstraining/: selected-data manifest and training/evaluation configssrc/ and scripts/: the small reproducibility and benchmark utilitiesThe root weights use MLX's fused LFM2 convolution layout and are intended for
MLX. For llama.cpp, use gguf/Sonoma-1.2B-GA-Q4_K_M.gguf from this bundle or
the separate Mincofficial/Sonoma-1.2B-0901-GGUF Q4_K_M release.
Sonoma-1.2B is a derivative of LFM2.5-1.2B-Thinking and remains subject to the LFM Open License v1.0. Review the license before use or redistribution.