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  ---
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- base_model: unsloth/Qwen2.5-7B-Instruct-bnb-4bit
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- library_name: transformers
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- model_name: talos-inquisitor-v5
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  tags:
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- - generated_from_trainer
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- - hf_jobs
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- - trl
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  - unsloth
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- - sft
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- licence: license
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- ---
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-
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- # Model Card for talos-inquisitor-v5
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-
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- This model is a fine-tuned version of [unsloth/Qwen2.5-7B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Qwen2.5-7B-Instruct-bnb-4bit).
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- It has been trained using [TRL](https://github.com/huggingface/trl).
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-
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- ## Quick start
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-
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- ```python
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- from transformers import pipeline
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-
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- question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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- generator = pipeline("text-generation", model="kodiboynton/talos-inquisitor-v5", device="cuda")
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- output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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- print(output["generated_text"])
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- ```
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- ## Training procedure
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-
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-
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-
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-
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- This model was trained with SFT.
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-
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- ### Framework versions
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- - TRL: 0.24.0
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- - Transformers: 5.5.0
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- - Pytorch: 2.10.0
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- - Datasets: 4.3.0
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- - Tokenizers: 0.22.2
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- ## Citations
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- Cite TRL as:
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-
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- ```bibtex
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- @misc{vonwerra2022trl,
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- title = {{TRL: Transformer Reinforcement Learning}},
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- author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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- year = 2020,
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- journal = {GitHub repository},
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- publisher = {GitHub},
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- howpublished = {\url{https://github.com/huggingface/trl}}
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- }
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- ```
 
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  ---
 
 
 
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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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+ ---
 
 
 
 
 
 
 
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+ # talos-inquisitor-v5 : 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-cli -hf kodiboynton/talos-inquisitor-v5 --jinja`
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+ - For multimodal models: `llama-mtmd-cli -hf kodiboynton/talos-inquisitor-v5 --jinja`
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+ ## Available Model files:
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+ - `Qwen2.5-7B-Instruct.Q4_K_M.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)