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lfm2.5-1.2b-distilled
joaoeudes7/lfm2.5-1.2b-distilled
lfm2.5-1.2b-distilled is a machine learning model from joaoeudes7. 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 apache-2.0.
Base model: FlameF0X/LFM2.5-1.2B-Distilled-Claude Training mode: SFT Steps trained: 50 Final loss: 1.3181
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2.3 GB on disk
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At a glance
- License
- apache-2.0
- Model type
- lfm2
- Access
- Public
- Created
- Jun 10, 2026
- Updated
- Jun 10, 2026
- SHA
- 312c3a91
Model card
From the Hugging Face model README
Fine-tuned Model
Base model: FlameF0X/LFM2.5-1.2B-Distilled-Claude Training mode: SFT Steps trained: 50 Final loss: 1.3181
Training Configuration
{
"loss": [
[
1,
2.6813
],
[
2,
2.5449
],
[
3,
2.3642
],
[
4,
2.2064
],
[
5,
2.0702
],
[
6,
1.9739
],
[
7,
1.9167
],
[
8,
1.8649
],
[
9,
1.8227
],
[
10,
1.7939
],
[
11,
1.7526
],
[
12,
1.7185
],
[
13,
1.6915
],
[
14,
1.6654
],
[
15,
1.6404
],
[
16,
1.6216
],
[
17,
1.601
],
[
18,
1.5826
],
[
19,
1.5667
],
[
20,
1.5505
],
[
21,
1.5355
],
[
22,
1.522
],
[
23,
1.5084
],
[
24,
1.4952
],
[
25,
1.4831
],
[
26,
1.4711
],
[
27,
1.4599
],
[
28,
1.4492
],
[
29,
1.4388
],
[
30,
1.429
],
[
31,
1.4193
],
[
32,
1.4103
],
[
33,
1.4016
],
[
34,
1.3936
],
[
35,
1.3857
],
[
36,
1.3782
],
[
37,
1.3711
],
[
38,
1.3643
],
[
39,
1.3578
],
[
40,
1.3519
],
[
41,
1.3466
],
[
42,
1.3414
],
[
43,
1.3367
],
[
44,
1.3326
],
[
45,
1.329
],
[
46,
1.326
],
[
47,
1.3231
],
[
48,
1.3209
],
[
49,
1.3192
],
[
50,
1.3181
]
],
"kl_divergence": [],
"max_steps": 50,
"student_model_id": "FlameF0X/LFM2.5-1.2B-Distilled-Claude",
"mode": "sft",
"peft": "lora"
}
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("joaoeudes7/lfm2.5-1.2b-distilled")
tokenizer = AutoTokenizer.from_pretrained("joaoeudes7/lfm2.5-1.2b-distilled")
- Type
- lfm2
- License
- apache-2.0
- Created
- Jun 10, 2026
- Updated
- Jun 10, 2026