2c2240df42
Model: Mathieu-Thomas-JOSSET/joke-finetome-model-gguf-phi4-20260112-081758 Source: Original Platform
55 lines
2.1 KiB
Markdown
55 lines
2.1 KiB
Markdown
---
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pipeline_tag: text-generation
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tags:
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- gguf
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- llama.cpp
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- unsloth
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- conversational
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base_model:
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- unsloth/Phi-4-unsloth-bnb-4bit
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datasets:
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- Mathieu-Thomas-JOSSET/michael_abab_conversations_infini_instruct.jsonl
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---
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# joke-finetome-model-gguf-phi4-20260112-081758 : GGUF
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This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
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**Example usage**:
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- For text only LLMs: `./llama.cpp/llama-cli -hf Mathieu-Thomas-JOSSET/joke-finetome-model-gguf-phi4-20260112-081758 --jinja`
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- For multimodal models: `./llama.cpp/llama-mtmd-cli -hf Mathieu-Thomas-JOSSET/joke-finetome-model-gguf-phi4-20260112-081758 --jinja`
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## Available Model files:
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- `phi-4.Q8_0.gguf`
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## Ollama
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An Ollama Modelfile is included for easy deployment.
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This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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## Training artifacts
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- Plot (interactive): [`reports/training_loss_step.html`](reports/training_loss_step.html)
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- Run manifest: [`reports/run_manifest.json`](reports/run_manifest.json)
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- Inference sample: [`reports/inference_sample.json`](reports/inference_sample.json)
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- Config snapshot: [`reports/config_snapshot.json`](reports/config_snapshot.json)
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## Inference
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This repository contains a **GGUF** model intended to be used with **llama.cpp** and/or deployed on **Hugging Face Inference Endpoints (llama.cpp container)**.
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Recommended Inference Endpoints knobs:
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- Max tokens / request: **1024**
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- Max concurrent requests: **2**
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### Local llama.cpp (Phi-4 template)
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```bash
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llama-cli -hf Mathieu-Thomas-JOSSET/joke-finetome-model-gguf-phi4-20260112-081758:q8_0 -cnv --chat-template phi4
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```
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### Hugging Face Inference Endpoint (llama.cpp)
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When creating an endpoint, select this repo and the GGUF file **<your_model>.gguf** (quant: **q8_0**).
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Recommended settings are stored in: `inference/endpoint_recipe.json`.
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Python client example: `inference/hf_endpoint_client.py`
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