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konic-labs/LFM2.5-VL-3B-ffn6144
LFM2.5-VL-3B-ffn6144 is a machine learning model from konic-labs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Bonus tier of the Konic surgical-compression series: deepest FFN prune 10752 → 6144 (−43%) + two-pass LoRA distillation recovery, BF16.
Downloads · 30 days
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33% of all-time downloads
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.safetensors4.5 GB · 100%
From the Hugging Face model README
Bonus tier of the Konic surgical-compression series: deepest FFN prune 10752 → 6144 (−43%) + two-pass LoRA distillation recovery, BF16.
Caveat: tool-calling emits the correct tool and arguments, but the closing
<|tool_call_end|> tag may be missing — not recommended for tool-calling
runtimes. Vision/text generation is validated.
| Size | vs original | |
|---|---|---|
| Original BF16 | 6.25 GB | — |
| This checkpoint (BF16) | 4.57 GB | −27% |
Quality vs base (quick suite): text/mm PPL ratio 0.89/0.82 (PASS), kld 0.33/0.37, generation chrF 0.52/0.46, integrity index 41.1 (record-only).
from transformers import AutoModelForImageTextToText
model = AutoModelForImageTextToText.from_pretrained(
"konic-labs/LFM2.5-VL-3B-ffn6144", dtype="bfloat16")
Derivative of LiquidAI/LFM2.5-VL-3B (LFM Open License v1.0). Pipeline:
https://github.com/konic-labs/lfm25-vl-3b-lab · Collection:
LFM2.5 3B Vision - Optimized.