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QuantFactory/Nemomix-v1.0-12B-GGUF
Nemomix-v1.0-12B-GGUF is a machine learning model from QuantFactory. 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.
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From the Hugging Face model README
This is quantized version of MarinaraSpaghetti/Nemomix-v1.0-12B created using llama.cpp


My main goal with this one was to merge the smartness of the base Instruct Nemo with the better prose from the different roleplaying fine-tunes. This is version v0.1, still to be tested. Weights shamelessly stolen from ParasiticRogue (thank you, friend). All credits and thanks go to Intervitens, Mistralai, NeverSleep and ShuttleAI for providing amazing models used in the merge.
Both Mistral Instruct and ChatML should work.
<s>[INST] {system} [/INST]{assistant}</s>[INST] {user} [/INST]
Or...
<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{user}<|im_end|>
<|im_start|>assistant
{assistant}<|im_end|>
Lower Temperature of 0.35 recommended, although I had luck with Temperatures above one (1.0-1.2) if you crank up the Min P (0.01-0.1). Run with base DRY of 0.8/1.75/2/0 and you're good to go.
https://huggingface.co/MarinaraSpaghetti/Nemomix-v0.1-12B-GGUF
V1: https://huggingface.co/MarinaraSpaghetti/Nemomix-v1.0-12B
V2: https://huggingface.co/MarinaraSpaghetti/Nemomix-v2.0-12B
V3: https://huggingface.co/MarinaraSpaghetti/Nemomix-v3.0-12B
V4: https://huggingface.co/MarinaraSpaghetti/Nemomix-v4.0-12B
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DARE TIES merge method using F:\mergekit\mistralaiMistral-Nemo-Base-2407 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: F:\mergekit\shuttleai_shuttle-2.5-mini
parameters:
weight: 0.16
density: 0.42
- model: F:\mergekit\NeverSleep_Lumimaid-v0.2-12B
parameters:
weight: 0.22
density: 0.54
- model: F:\mergekit\intervitens_mini-magnum-12b-v1.1
parameters:
weight: 0.28
density: 0.66
- model: F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
parameters:
weight: 0.34
density: 0.78
merge_method: dare_ties
base_model: F:\mergekit\mistralaiMistral-Nemo-Base-2407
parameters:
int8_mask: true
dtype: bfloat16