docs: add explicit HuggingFace repo destinations

- List all HuggingFace repos in CLAUDE.md (model, gguf, sft, grpo, train)
- Update jobs scripts to use tobil/qmd-query-expansion-train (no -v2)
- Clarify rules: no versioned repos, update in place

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

finetune/CLAUDE.md

@@ -18,14 +18,20 @@ vec: another semantic variation
 - `lex:` lines for BM25 keyword search (1-3 lines, short keywords)
 - `vec:` lines for vector similarity search (1-3 lines, natural language)
 
-## Model Repository
-
-**Single destination**: `tobil/qmd-query-expansion-1.7B`
-
-- No versioned directories (`-v1`, `-v2`, `-v4`, etc.)
-- No separate `-sft` or `-grpo` repos for final models
-- Update the main repo only when eval scores improve
-- GGUF variants go to `tobil/qmd-query-expansion-1.7B-gguf`
+## HuggingFace Repositories
+
+| Repository | Purpose |
+|------------|---------|
+| `tobil/qmd-query-expansion-1.7B` | Final merged model (SFT + GRPO) |
+| `tobil/qmd-query-expansion-1.7B-gguf` | GGUF quantized versions for deployment |
+| `tobil/qmd-query-expansion-1.7B-sft` | SFT adapter checkpoint (intermediate) |
+| `tobil/qmd-query-expansion-1.7B-grpo` | GRPO adapter checkpoint (intermediate) |
+| `tobil/qmd-query-expansion-train` | Prepared training dataset |
+
+**Rules:**
+- No versioned repos (`-v1`, `-v2`, `-v4`, etc.) - update in place
+- Only push when eval scores improve over current deployed model
+- Always include eval results in model card when pushing
 
 ## Training Data
 

finetune/jobs/grpo.py

@@ -46,7 +46,7 @@ from eval_common import QMDRewardFunction, run_eval
 BASE_MODEL = "Qwen/Qwen3-1.7B"
 SFT_MODEL = "tobil/qmd-query-expansion-1.7B-sft"
 OUTPUT_MODEL = "tobil/qmd-query-expansion-1.7B-grpo"
-DATASET = "tobil/qmd-query-expansion-train-v2"
+DATASET = "tobil/qmd-query-expansion-train"
 
 
 def main():

finetune/jobs/sft.py

@@ -25,7 +25,7 @@ from huggingface_hub import login
 # --- Config (inlined from configs/sft.yaml) ---
 BASE_MODEL = "Qwen/Qwen3-1.7B"
 OUTPUT_MODEL = "tobil/qmd-query-expansion-1.7B-sft"
-DATASET = "tobil/qmd-query-expansion-train-v2"
+DATASET = "tobil/qmd-query-expansion-train"
 
 hf_token = os.environ.get("HF_TOKEN")
 if hf_token: