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Model: vimleshiit4463/wyzer-2.0-smollm2-135m
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-135M-Instruct
+pipeline_tag: text-generation
+tags:
+  - safetensors
+  - study-assistant
+  - fine-tuned
+---
+
+# Wyzer 2.0 (SmolLM2-135M fine-tune)
+
+The conversational companion inside the **BackOnTrack** study app.
+LoRA fine-tune of SmolLM2-135M-Instruct, merged to native Transformers
+format (safetensors) — this is the deployment artifact served by the
+Wyzer FastAPI Space. An optional `wyzer-2.0-q4_k_m.gguf` is included for
+local llama.cpp inference. The 135M size was chosen deliberately: it
+trains on a laptop CPU and responds fast on Hugging Face's free 2-vCPU
+tier.
+
+Trained behaviours:
+
+- Grounded answers: user metrics arrive in a `[CONTEXT]...[/CONTEXT]` block;
+  the model quotes numbers only from there.
+- Refusal to fabricate: missing data → says so instead of guessing.
+- Action honesty: recommends, never claims to execute; the app's
+  deterministic engine performs approved actions.
+- Mentor persona across study, tech, career, fitness, wellbeing (English +
+  Hinglish).
+
+Trained offline with a synthetic instruction dataset (~900 examples,
+2 epochs, LoRA r=16). Not a general-purpose assistant; expect app-domain
+behaviour.