lfm2a-fr
French fine-tunings of LFM2.5-Audio. Each model lives on its own branch: load it with
LFM2AudioModel.from_pretrained(repo, revision=<branch>). The main branch only
holds this index. Each branch's README gives the model's provenance and results.
| Branch | Phase | Status | Parent | Trained on | Summary |
|---|---|---|---|---|---|
s1-anchor-v1 |
s1-anchor | validé | LiquidAI/LFM2.5-Audio-1.5B |
2026-08-27 | Sequential French anchoring v1 |
s1-anchor-v2 |
s1-anchor | candidat | LiquidAI/LFM2.5-Audio-1.5B |
2026-09-18 | French anchoring v2 (sequential and interleaved) |
s1-anchor-v3 |
s1-anchor | candidat | LiquidAI/LFM2.5-Audio-1.5B |
2026-09-21 | French anchoring v3 (all data, one epoch) |
s2-ref |
s2 | candidat | LiquidAI/LFM2.5-Audio-1.5B |
2026-09-25 | French and English voice assistant with tool calling (phase 2 reference) |
s2-tool-v2 |
s2 | candidat | LiquidAI/LFM2.5-Audio-1.5B |
2026-10-02 | French and English voice assistant with tool calling (phase 2, tool-calling data v2) |
s2-lora-p20 |
s2 | candidat | LiquidAI/LFM2.5-Audio-1.5B |
2026-10-09 | French and English voice assistant with tool calling (phase 2 after a LoRA anchoring on 20 % of the anchoring corpus) |
s2-lora-full |
s2 | candidat | LiquidAI/LFM2.5-Audio-1.5B |
2026-10-10 | French and English voice assistant with tool calling (phase 2 after a LoRA anchoring on a full epoch of the anchoring corpus) |
s12-unique-sft |
s12-unique | candidat | LiquidAI/LFM2.5-Audio-1.5B |
2026-10-16 | French and English voice assistant in one training phase (SFT on a balanced mix of ASR, TTS, replayed text, conversation and tool calling) |
s12-unique-lora |
s12-unique | candidat | LiquidAI/LFM2.5-Audio-1.5B |
2026-10-17 | French and English voice assistant in one training phase (LoRA on a balanced mix of ASR, TTS, replayed text, conversation and tool calling) |
s13-tools-web-db-sft |
s13-tools-web-db | candidat | LiquidAI/LFM2.5-Audio-1.5B |
2026-10-27 | French and English voice assistant with two general tools (SFT on the s12 mix plus query_database and web_search dialogues) |
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