Locutusque
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Hercules-5.0-Qwen2-7B

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+license: apache-2.0
 library_name: transformers
+datasets:
+- Locutusque/hercules-v5.0
 ---
+# Model Card: Hercules-5.0-Qwen2-7B
+![image/png](https://tse3.mm.bing.net/th/id/OIG1.vnrl3xpEcypR3McLW63q?pid=ImgGn)
+## Model Description
+Locutusque/Hercules-5.0-Qwen2-7B is a fine-tuned language model derived from Qwen2-7B. It is specifically designed to excel in instruction following, function calls, and conversational interactions across various scientific and technical domains. This fine-tuning has hercules-v5.0 with enhanced abilities in:
+- Complex Instruction Following: Understanding and accurately executing multi-step instructions, even those involving specialized terminology.
+- Function Calling: Seamlessly interpreting and executing function calls, providing appropriate input and output values.
+- Domain-Specific Knowledge: Engaging in informative and educational conversations about Biology, Chemistry, Physics, Mathematics, Medicine, Computer Science, and more.
+This model was fine-tuned using my TPU-Alignment repository. https://github.com/Locutusque/TPU-Alignment
+Join my discord server: https://discord.com/invite/vrGheTUFrm
+## Intended Uses & Potential Bias
+Locutusque/Hercules-5.0-Qwen2-7B is well-suited to the following applications:
+- Specialized Chatbots: Creating knowledgeable chatbots and conversational agents in scientific and technical fields.
+- Instructional Assistants: Supporting users with educational and step-by-step guidance in various disciplines.
+- Code Generation and Execution: Facilitating code execution through function calls, aiding in software development and prototyping.
+## Limitations and Risks
+- Toxicity: The dataset contains toxic or harmful examples.
+- Hallucinations and Factual Errors: Like other language models, Llama-3-Hercules-5.0-8B may generate incorrect or misleading information, especially in specialized domains where it lacks sufficient expertise.
+- Potential for Misuse: The ability to engage in technical conversations and execute function calls could be misused for malicious purposes.
+## Training Procedure
+- This model was trained on 8 kaggle TPUs, using torch xla SPMD for high MXU efficiency. There was no expense on my end (meaning you can reproduce this too!)
+- A learning rate of 5e-6 with the Adam optimizer. A linear scheduler was used, with an end factor of 0.1.
+- No mixed precision was used, with the default dtype being bfloat16.
+- A total batch size of 64 was used.
+- Trained on all examples of Hercules-v5.0 for 1 epoch
+- No model parameters were frozen and no quantization was used.
+- This model was trained on OpenAI's ChatML prompt format. Because this model has function calling capabilities, the prompt format is slightly different, here's what it would look like: ```<|im_start|>system\n{message}<|im_end|>\n<|im_start|>user\n{user message}<|im_end|>\n<|im_start|>call\n{function call message}<|im_end|>\n<|im_start|>function\n{function response message}<|im_end|>\n<|im_start|>assistant\n{assistant message}</s>```
+This model was fine-tuned using my TPU-Alignment repository. https://github.com/Locutusque/TPU-Alignment