Upload 2 files

Add finetuned version of gemma

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+function-gemma-finetuned-tool-call.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,97 @@
----
-license: apache-2.0
----
+---
+language:
+- en
+- fr
+license: apache-2.0
+base_model: unsloth/functiongemma-270m-it
+library_name: gguf
+pipeline_tag: text-generation
+tags:
+- gguf
+- llama.cpp
+- function-calling
+- tool-calling
+- gemma
+- bilingual
+- en
+- fr
+- finetuned
+model_name: function-gemma-finetuned-tool-call
+---
+
+# function-gemma-finetuned-tool-call
+
+Fine-tuned Function-Gemma 270M model for bilingual (English/French) tool-calling.
+
+## Files
+
+- `function-gemma-finetuned-tool-call.gguf` (F16 merged GGUF)
+
+## Base Model
+
+- `unsloth/functiongemma-270m-it`
+
+## Training Summary
+
+- Method: SFT + LoRA, then merged into full weights
+- Dataset: custom bilingual EN/FR tool-calling set (`dataset_80tools_en_fr.json`)
+- Target behavior: structured function/tool calls with argument extraction and no-tool abstention when appropriate
+
+## Local Evaluation (checkpoint benchmark)
+
+From `outputs/eval_checkpoint_report.json`:
+
+- Total cases: 16
+- Pass rate: 0.8125
+- Decision accuracy: 0.8125
+- Tool name accuracy: 0.8125
+- Argument presence accuracy: 1.0
+- Tool-call recall: 1.0
+- No-tool precision: 0.5
+
+## Usage (llama.cpp)
+
+```bash
+llama.cpp/build/bin/llama-cli \
+  --model function-gemma-finetuned-tool-call.gguf \
+  --ctx-size 32768 \
+  --n-gpu-layers 99 \
+  --seed 3407 \
+  --top-k 64 \
+  --top-p 0.95 \
+  --temp 1.0 \
+  --jinja
+```
+
+For one-shot test:
+
+```bash
+llama.cpp/build/bin/llama-cli \
+  --model function-gemma-finetuned-tool-call.gguf \
+  --ctx-size 32768 \
+  --n-gpu-layers 99 \
+  --seed 3407 \
+  --top-k 64 \
+  --top-p 0.95 \
+  --temp 1.0 \
+  --jinja \
+  --single-turn \
+  --simple-io \
+  --prompt "What is the weather in Paris?"
+```
+
+## Prompt / Output Format
+
+This model was fine-tuned for Function-Gemma style tool tags (e.g. `<start_function_call>...`).
+When used with `--jinja`, llama.cpp applies the chat template stored in GGUF metadata.
+
+## Limitations
+
+- Small model (270M): can still over-call tools in ambiguous no-tool prompts.
+- Best results require strong tool schema prompts and clear user intent.
+
+## Intended Use
+
+- Lightweight local assistant prototypes
+- Tool-routing and structured argument extraction tasks
+- EN/FR bilingual demos and experimentation

function-gemma-finetuned-tool-call.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00b4dd85c54a3f1bbbdc7643efb14fe0b9f1f4f8e02db151c9aa182852a62268
+size 542847360