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| license: other | |
| license_name: lfm-open-license-v1.0 | |
| license_link: https://huggingface.co/LiquidAI/LFM2.5-Encoder-350M/blob/main/LICENSE | |
| library_name: minima-lfm | |
| base_model: LiquidAI/LFM2.5-Encoder-350M | |
| tags: | |
| - lfm2 | |
| - encoder | |
| - ternary | |
| - bitnet | |
| - quantization | |
| # Minima | |
| A strict W1.58A8 adaptation of [LiquidAI/LFM2.5-Encoder-350M](https://huggingface.co/LiquidAI/LFM2.5-Encoder-350M), | |
| built with [SSHDotCodes/minima](https://github.com/SSHDotCodes/minima). | |
| - Logical matrix values: `{-1, 0, +1}` (1.585 bits) | |
| - Physical artifact format: I2_S, four trits per byte | |
| - Dynamic int8 activations | |
| - Group size 128, **no recovery adapters** | |
| - Full 8,192-token encoder context | |
| - Packed weight file: **89.9 MB** (94,298,568 bytes) | |
| - Release status: **release candidate** (six-task gated retention 85.45% vs FP32) | |
| ## Use | |
| ```bash | |
| pip install "minima-lfm @ git+https://github.com/SSHDotCodes/minima.git" | |
| ``` | |
| ```python | |
| from minima import MinimaModel | |
| model = MinimaModel.from_pretrained("ProCreations/minima", device="cpu") | |
| outputs = model(input_ids=input_ids, attention_mask=attention_mask) | |
| ``` | |
| CPU inference defaults to a one-time FBGEMM dynamic-int8 packing of each | |
| ternary matrix. Set `MINIMA_CPU_BACKEND=i2s` for the direct packed 2-bit | |
| AVX2/ARM NEON kernel. | |
| ## Encoder quality | |
| The six-task downstream gate compares matched 800-step fine-tunes. Packed | |
| ternary matrices stay frozen; only the task head and non-matrix parameters | |
| adapt. Required relative mean: **>= 96%**. | |
| | Task | FP32 | Minima | Capped retention | | |
| | --- | ---: | ---: | ---: | | |
| | SST2 | 0.79817 | 0.75459 | 94.54% | | |
| | QNLI | 0.60608 | 0.59491 | 98.16% | | |
| | MNLI | 0.40621 | 0.38074 | 93.73% | | |
| | MRPC | 0.81694 | 0.81873 | 100.00% | | |
| | STSB | 0.54812 | 0.40660 | 74.18% | | |
| | COLA | 0.11382 | 0.05927 | 52.07% | | |
| | **Mean** | | | **85.45%** | | |
| ## License | |
| The weights remain subject to the LFM Open License v1.0 shipped in this | |
| repository. The Minima runtime code is MIT licensed. | |