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starble-dev/Hollow-Tail-V1-12B-GGUF
Hollow-Tail-V1-12B-GGUF is a machine learning model from starble-dev. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
[!WARNING] General Use Sampling:<br Mistral-Nemo-12B is very sensitive to the temperature sampler, try values near 0.3 at first or else you will get some weird results. This is mentioned by MistralAI at their Transfor…
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From the Hugging Face model README
[!WARNING] General Use Sampling:<br> Mistral-Nemo-12B is very sensitive to the temperature sampler, try values near 0.3 at first or else you will get some weird results. This is mentioned by MistralAI at their Transformers section.
[!NOTE] Best Samplers:<br> I found best success using the following for Hollow-Tail-V1-12B:<br> Temperature:
1.2<br> Top K:-1<br> Min P:0.05<br> Rep Penalty:1.08<br>
Disclaimer: This is a model merge!
Seems to be a bit smarter than I expected from my experience. May need a bit of guidance through system prompts at the beginning but it was quite fun to use. Though one thing I've realized with Mistral-Nemo is that the model does not really seem to end correctly, so instead I use the following format: <br>
Obviously this is just my personal experience but I find this to be a good setup, I strongly recommend you experiment with different system formats and see which is better for you. Note that none of these models are fine-tuned for this specific format, I believe most of them are fine-tuned on Mistral's original [INST] and [/INST] format or ChatML.
<[start_system]>
You are a professional writer.
<[STOP]>
<[start_prompt]>
User prompt here.
<[STOP]>
<[start_model]>
Model response here.
<[STOP]>
Original Models: <br>
Original Model Merge: <br>
Original Model Licenses: <br>
This is a merge of pre-trained language models created using mergekit.
This model was merged using the linear merge method using models/Rocinante-12B-v1.1 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Sao10K/MN-12B-Lyra-v2a1
parameters:
weight: 0.8
- model: migtissera/Tess-3-Mistral-Nemo-12B
parameters:
weight: 0.2
- model: TheDrummer/Rocinante-12B-v1.1
parameters:
weight: 0.8
merge_method: linear
base_model: TheDrummer/Rocinante-12B-v1.1
parameters:
normalize: true
int8_mask: true
dtype: bfloat16