--- pipeline_tag: text-generation tags: - gguf - llama.cpp - unsloth - conversational base_model: - unsloth/Phi-4-unsloth-bnb-4bit datasets: - Mathieu-Thomas-JOSSET/michael_abab_conversations_infini_instruct.jsonl --- # joke-finetome-model-gguf-phi4-20260112-081758 : GGUF This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth). **Example usage**: - For text only LLMs: `./llama.cpp/llama-cli -hf Mathieu-Thomas-JOSSET/joke-finetome-model-gguf-phi4-20260112-081758 --jinja` - For multimodal models: `./llama.cpp/llama-mtmd-cli -hf Mathieu-Thomas-JOSSET/joke-finetome-model-gguf-phi4-20260112-081758 --jinja` ## Available Model files: - `phi-4.Q8_0.gguf` ## Ollama An Ollama Modelfile is included for easy deployment. This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) [](https://github.com/unslothai/unsloth) ## Training artifacts - Plot (interactive): [`reports/training_loss_step.html`](reports/training_loss_step.html) - Run manifest: [`reports/run_manifest.json`](reports/run_manifest.json) - Inference sample: [`reports/inference_sample.json`](reports/inference_sample.json) - Config snapshot: [`reports/config_snapshot.json`](reports/config_snapshot.json) ## Inference This repository contains a **GGUF** model intended to be used with **llama.cpp** and/or deployed on **Hugging Face Inference Endpoints (llama.cpp container)**. Recommended Inference Endpoints knobs: - Max tokens / request: **1024** - Max concurrent requests: **2** ### Local llama.cpp (Phi-4 template) ```bash llama-cli -hf Mathieu-Thomas-JOSSET/joke-finetome-model-gguf-phi4-20260112-081758:q8_0 -cnv --chat-template phi4 ``` ### Hugging Face Inference Endpoint (llama.cpp) When creating an endpoint, select this repo and the GGUF file **.gguf** (quant: **q8_0**). Recommended settings are stored in: `inference/endpoint_recipe.json`. Python client example: `inference/hf_endpoint_client.py`