Wagmi (lfm2/auth/sft) - gguf
Version: 0.3.5
Repo ID: jeanbaptdzd/wagmi-lfm2-24b-auth-sft-gguf
Model Summary
This model is part of the Wagmi assistant stack for Deal ex Machina. It is a gguf artifact in the lfm2 family (auth profile).
Recent Training Updates
- DPO safety path (14B / auth / qwen):
train_dpo.py, data/dpo/wagmi_safety_dpo.jsonl, Hub adapter jeanbaptdzd/wagmi-qwen2.5-14b-sft-dpo, merged …-sft-dpo-merged, GGUF …-sft-dpo-gguf (local export: ./scripts/local_gguf_export.sh auth-dpo).
- Space: Gradio tabs for DPO / GRPO training, Export merged (DPO) (tab 7c), Eval red team (tab 5b);
export_merged.py uses ProfileConfig.max_seq_len for L40 stability.
- Local GGUF: document pinning
gguf-py to the same git SHA as Homebrew llama.cpp (avoids HUNYUAN_VL / MODEL_ARCH mismatch with convert_hf_to_gguf.py).
- GEPA / DSPy:
scripts/dspy/gepa_system_prompt.py, data/optimized_system_prompt.json (bootstrap run, devset metric).
Intended Purpose
- Intended domain: questions about Deal ex Machina services, content, and related company context.
- Intended users: website visitors and authenticated users, depending on profile routing in production.
- Intended geographies/languages: French and English.
Out-of-Scope Use
- General-purpose assistant usage unrelated to Deal ex Machina.
- Legal, medical, financial, hiring, credit, insurance, law-enforcement, or other high-impact decisions.
- Any use requiring guaranteed factual completeness.
AI Act Transparency (Article 50) Notes
- This model powers a chatbot experience where users are informed they interact with AI.
- System scope is limited-risk as deployed (not categorized as high-risk use under current deployment assumptions).
- Human oversight remains with product operators; model output should not be used as sole basis for consequential decisions.
Data and Training Provenance
- Base model:
LiquidAI/LFM2-24B-A2B
- Training track:
sft
- Fine-tuning method: LoRA SFT (see project pipeline)
- Approximate SFT dataset size: 909 examples
- Dataset metadata snapshot version:
0.3.4
- Data policy: no direct end-user chat logs are used for SFT
Evaluation, Robustness, and Safety
- Report:
reports/redteam/v0.3.5/auth_redteam_20260427-232807.md
- Evaluated at (UTC):
2026-04-27T23:28:07Z
- Release gate: FAIL (pass rate
70.8%, failures 7)
Known Limitations
- Domain-bounded assistant; degraded quality outside scope.
- Non-zero hallucination risk for edge prompts.
- Safety/robustness tests are finite and release-based.
Risk Management and Incident Process
- Document escalation path for harmful/incorrect outputs.
- Link internal release gate evidence and retention policy.
- TODO: add public contact route for reporting model issues.
License and Redistribution
- SPDX field:
other
- License note: LFM Open License v1.0 (Liquid AI)
- Derivative distribution must comply with upstream model terms and Hugging Face terms.
Maintainer Update Checklist
