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M4-ai_-_Hercules-phi-2-gguf
RichardErkhov/M4-ai_-_Hercules-phi-2-gguf
M4-ai_-_Hercules-phi-2-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.gguf37.4 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 23, 2024
- Updated
- Oct 23, 2024
- SHA
- c63ca1ac
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Hercules-phi-2 - GGUF
- Model creator: https://huggingface.co/M4-ai/
- Original model: https://huggingface.co/M4-ai/Hercules-phi-2/
| Name | Quant method | Size |
|---|---|---|
| Hercules-phi-2.Q2_K.gguf | Q2_K | 1.03GB |
| Hercules-phi-2.IQ3_XS.gguf | IQ3_XS | 1.12GB |
| Hercules-phi-2.IQ3_S.gguf | IQ3_S | 1.16GB |
| Hercules-phi-2.Q3_K_S.gguf | Q3_K_S | 1.16GB |
| Hercules-phi-2.IQ3_M.gguf | IQ3_M | 1.23GB |
| Hercules-phi-2.Q3_K.gguf | Q3_K | 1.33GB |
| Hercules-phi-2.Q3_K_M.gguf | Q3_K_M | 1.33GB |
| Hercules-phi-2.Q3_K_L.gguf | Q3_K_L | 1.47GB |
| Hercules-phi-2.IQ4_XS.gguf | IQ4_XS | 1.43GB |
| Hercules-phi-2.Q4_0.gguf | Q4_0 | 1.49GB |
| Hercules-phi-2.IQ4_NL.gguf | IQ4_NL | 1.5GB |
| Hercules-phi-2.Q4_K_S.gguf | Q4_K_S | 1.51GB |
| Hercules-phi-2.Q4_K.gguf | Q4_K | 1.62GB |
| Hercules-phi-2.Q4_K_M.gguf | Q4_K_M | 1.62GB |
| Hercules-phi-2.Q4_1.gguf | Q4_1 | 1.65GB |
| Hercules-phi-2.Q5_0.gguf | Q5_0 | 1.8GB |
| Hercules-phi-2.Q5_K_S.gguf | Q5_K_S | 1.8GB |
| Hercules-phi-2.Q5_K.gguf | Q5_K | 1.87GB |
| Hercules-phi-2.Q5_K_M.gguf | Q5_K_M | 1.87GB |
| Hercules-phi-2.Q5_1.gguf | Q5_1 | 1.95GB |
| Hercules-phi-2.Q6_K.gguf | Q6_K | 2.13GB |
| Hercules-phi-2.Q8_0.gguf | Q8_0 | 2.75GB |
Original model description:
library_name: transformers license: apache-2.0 datasets:
- Locutusque/hercules-v4.5 language:
- en inference: parameters: do_sample: true temperature: 1 top_p: 0.7 top_k: 4 max_new_tokens: 250 repetition_penalty: 1.1
Hercules-phi-2
<!-- Provide a quick summary of what the model is/does. -->We fine-tuned phi2 on Locutusque's Hercules-v4.5.
Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->This model has capabilities in math, coding, function calling, roleplay, and more. We fine-tuned it using all examples of Hercules-v4.5.
- Developed by: M4-ai
- Language(s) (NLP): English
- License: apache-2.0
Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->General purpose assistant, question answering, chain-of-thought, etc..
Evaluation
Coming soon
Training Details
Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->https://huggingface.co/datasets/Locutusque/hercules-v4.5
Training Hyperparameters
- Training regime: bf16 non-mixed precision
Technical Specifications
Hardware
We used 8 Kaggle TPUs, and we trained at a global batch size of 1152.
- Created
- Oct 23, 2024
- Updated
- Oct 23, 2024