lfm2.5-350M-datause-multitask

rafmacalaba/lfm2.5-350M-datause-multitask

lfm2.5-350M-datause-multitask is a text generation model from rafmacalaba. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.

LoRA SFT of LiquidAI/LFM2.5-350M for data-mention provenance attributes (producer / year / geography / acronym) and usage/impact classification (datatype / usageaction / impactlabel / usagesummary).

Downloads · 30 days

Access

Public

Updated Aug 16, 2026

Repo size

2.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors733 MB · 99%

At a glance

Task: Text Generation
License: apache-2.0
Access: Public
Created: Aug 16, 2026
Updated: Aug 16, 2026
SHA: 378736f4

Try a prompt

Model card

From the Hugging Face model README

lfm2.5-350M-datause-multitask

LoRA SFT of LiquidAI/LFM2.5-350M for data-mention provenance attributes (producer / year / geography / acronym) and usage/impact classification (data_type / usage_action / impact_label / usage_summary).

Training

base model: LiquidAI/LFM2.5-350M
dataset: rafmacalaba/data-use-sft
epochs: 3
learning rate: 0.0002
LoRA: r=16 alpha=32 dropout=0.05
completion-only masking (loss on assistant JSON turn)

real holdout

Holdout n=5471. Exact string match of each emitted attribute against the gold label.

attribute	tp	fp	fn	precision	recall	f0.5	f1
producer	1093	393	356	0.7355	0.7543	0.7392	0.7448
year	1034	278	316	0.7881	0.7659	0.7836	0.7769
geography	1612	476	415	0.7720	0.7953	0.7766	0.7835
acronym	1238	217	178	0.8509	0.8743	0.8554	0.8624
overall	4977	1364	1265	0.7849	0.7973	0.7874	0.7911

Usage/impact macro-F1 (per head):

data_type: 0.5934
usage_action: 0.5131
impact_label: 0.4816
usage_summary: mean_sim=0.6700 grounded_rate=0.9264

Verbatim rate (emitted values that are substrings of the context): 6317/6341 = 0.9962

synthetic holdout

Holdout n=575. Exact string match of each emitted attribute against the gold label.

attribute	tp	fp	fn	precision	recall	f0.5	f1
producer	123	27	26	0.8200	0.8255	0.8211	0.8227
year	119	20	35	0.8561	0.7727	0.8380	0.8123
geography	165	36	29	0.8209	0.8505	0.8267	0.8354
acronym	62	26	27	0.7045	0.6966	0.7029	0.7006
overall	469	109	117	0.8114	0.8003	0.8092	0.8058

Usage/impact macro-F1 (per head):

data_type: 0.9478
usage_action: 0.8890
impact_label: 0.6645
usage_summary: mean_sim=0.7160 grounded_rate=0.9827

Verbatim rate (emitted values that are substrings of the context): 575/578 = 0.9948

Task: Text Generation
License: apache-2.0
Created: Aug 16, 2026
Updated: Aug 16, 2026