Training in progress, step 4500

README.md

@@ -1,23 +1,60 @@
 ---
+base_model: unsloth/Qwen2.5-7B-Instruct-bnb-4bit
+library_name: transformers
+model_name: talos-inquisitor-v5
 tags:
-- gguf
-- llama.cpp
+- generated_from_trainer
+- hf_jobs
+- trl
 - unsloth
-
+- sft
+licence: license
 ---
 
-# talos-inquisitor-v5 : GGUF
+# Model Card for talos-inquisitor-v5
+
+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).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+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?"
+generator = pipeline("text-generation", model="kodiboynton/talos-inquisitor-v5", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+ 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.24.0
+- Transformers: 5.5.0
+- Pytorch: 2.10.0
+- Datasets: 4.3.0
+- Tokenizers: 0.22.2
 
-This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
+## Citations
 
-**Example usage**:
-- For text only LLMs:    `llama-cli -hf kodiboynton/talos-inquisitor-v5 --jinja`
-- For multimodal models: `llama-mtmd-cli -hf kodiboynton/talos-inquisitor-v5 --jinja`
 
-## Available Model files:
-- `Qwen2.5-7B-Instruct.Q4_K_M.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)
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	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},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

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