README.md

Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

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neuronovo-9B-v0.3 - GGUF
- Model creator: https://huggingface.co/Neuronovo/
- Original model: https://huggingface.co/Neuronovo/neuronovo-9B-v0.3/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [neuronovo-9B-v0.3.Q2_K.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q2_K.gguf) | Q2_K | 3.13GB |
| [neuronovo-9B-v0.3.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.IQ3_XS.gguf) | IQ3_XS | 3.48GB |
| [neuronovo-9B-v0.3.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.IQ3_S.gguf) | IQ3_S | 3.67GB |
| [neuronovo-9B-v0.3.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q3_K_S.gguf) | Q3_K_S | 3.65GB |
| [neuronovo-9B-v0.3.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.IQ3_M.gguf) | IQ3_M | 3.79GB |
| [neuronovo-9B-v0.3.Q3_K.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q3_K.gguf) | Q3_K | 4.05GB |
| [neuronovo-9B-v0.3.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q3_K_M.gguf) | Q3_K_M | 4.05GB |
| [neuronovo-9B-v0.3.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q3_K_L.gguf) | Q3_K_L | 4.41GB |
| [neuronovo-9B-v0.3.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.IQ4_XS.gguf) | IQ4_XS | 4.55GB |
| [neuronovo-9B-v0.3.Q4_0.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q4_0.gguf) | Q4_0 | 4.74GB |
| [neuronovo-9B-v0.3.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.IQ4_NL.gguf) | IQ4_NL | 4.79GB |
| [neuronovo-9B-v0.3.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q4_K_S.gguf) | Q4_K_S | 4.78GB |
| [neuronovo-9B-v0.3.Q4_K.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q4_K.gguf) | Q4_K | 5.04GB |
| [neuronovo-9B-v0.3.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q4_K_M.gguf) | Q4_K_M | 5.04GB |
| [neuronovo-9B-v0.3.Q4_1.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q4_1.gguf) | Q4_1 | 5.26GB |
| [neuronovo-9B-v0.3.Q5_0.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q5_0.gguf) | Q5_0 | 5.77GB |
| [neuronovo-9B-v0.3.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q5_K_S.gguf) | Q5_K_S | 5.77GB |
| [neuronovo-9B-v0.3.Q5_K.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q5_K.gguf) | Q5_K | 5.93GB |
| [neuronovo-9B-v0.3.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q5_K_M.gguf) | Q5_K_M | 5.93GB |
| [neuronovo-9B-v0.3.Q5_1.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q5_1.gguf) | Q5_1 | 6.29GB |
| [neuronovo-9B-v0.3.Q6_K.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q6_K.gguf) | Q6_K | 6.87GB |
| [neuronovo-9B-v0.3.Q8_0.gguf](https://huggingface.co/RichardErkhov/Neuronovo_-_neuronovo-9B-v0.3-gguf/blob/main/neuronovo-9B-v0.3.Q8_0.gguf) | Q8_0 | 8.89GB |




Original model description:
---
license: apache-2.0
datasets:
- Intel/orca_dpo_pairs
- mlabonne/chatml_dpo_pairs
language:
- en
library_name: transformers
---
More information about previous [Neuronovo/neuronovo-9B-v0.2](https://huggingface.co/Neuronovo/neuronovo-9B-v0.2) version available here: 🔗[Don't stop DPOptimizing!](https://www.linkedin.com/pulse/dont-stop-dpoptimizing-jan-koco%2525C5%252584-mq4qf)

Author: Jan Kocoń     🔗[LinkedIn](https://www.linkedin.com/in/jankocon/)     🔗[Google Scholar](https://scholar.google.com/citations?user=pmQHb5IAAAAJ&hl=en&oi=ao)     🔗[ResearchGate](https://www.researchgate.net/profile/Jan-Kocon-2)

Changes concerning [Neuronovo/neuronovo-9B-v0.2](https://huggingface.co/Neuronovo/neuronovo-9B-v0.2):

1. **Training Dataset**: In addition to the [Intel/orca_dpo_pairs](Intel/orca_dpo_pairs) dataset, this version incorporates a [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs). The combined datasets enhance the model's capabilities in dialogues and interactive scenarios, further specializing it in natural language understanding and response generation.

2. **Tokenizer and Formatting**: The tokenizer now originates directly from the [Neuronovo/neuronovo-9B-v0.2](https://huggingface.co/Neuronovo/neuronovo-9B-v0.2) model.

3. **Training Configuration**: The training approach has shifted from using `max_steps=200` to `num_train_epochs=1`. This represents a change in the training strategy, focusing on epoch-based training rather than a fixed number of steps.

4. **Learning Rate**: The learning rate has been reduced to a smaller value of `5e-6`. This finer learning rate allows for more precise adjustments during the training process, potentially leading to better model performance.