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Open-source LFM2.5-350M-SmolDataEnvs-Easy-Recovery-SelfGen-SFT-r16-a32-lr4e-4 model from lugman-madhiai — available for download and self-hosting on Hugging Face.
Best for
Local run command
pip install transformers accelerate && python -c "from transformers import AutoModelForCausalLM, AutoTokenizer; tok = AutoTokenzier.from_pretrained('lugman-madhiai/LFM2.5-350M-SmolDataEnvs-Easy-Recovery-SelfGen-SFT-r16-a32-lr4e-4'); model = AutoModelForCausalLM.from_pretrained('lugman-madhiai/LFM2.5-350M-SmolDataEnvs-Easy-Recovery-SelfGen-SFT-r16-a32-lr4e-4'); print('Loaded lugman-madhiai/LFM2.5-350M-SmolDataEnvs-Easy-Recovery-SelfGen-SFT-r16-a32-lr4e-4')"Presumptive Specs:
Community reliability estimate · not official
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Provider
Learn how to use LFM2.5-350M-SmolDataEnvs-Easy-Recovery-SelfGen-SFT-r16-a32-lr4e-4
💡 Tip: Start with the sample prompts above to see how LFM2.5-350M-SmolDataEnvs-Easy-Recovery-SelfGen-SFT-r16-a32-lr4e-4 works best.
Proven prompts shared by the community for this model