初始化项目，由ModelHub XC社区提供模型

Model: Mathieu-Thomas-JOSSET/joke-finetome-model-gguf-phi4-20260112-081758
Source: Original Platform

README.md

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+---
+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)
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](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 **<your_model>.gguf** (quant: **q8_0**).
+Recommended settings are stored in: `inference/endpoint_recipe.json`.
+
+Python client example: `inference/hf_endpoint_client.py`