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Azazelle_-_Yuna-7b-Merge-gguf
RichardErkhov/Azazelle_-_Yuna-7b-Merge-gguf
Azazelle_-_Yuna-7b-Merge-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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Repo size
82.2 GB
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.gguf95.2 GB · 100%
At a glance
- Access
- Public
- Created
- Jul 24, 2024
- Updated
- Jul 24, 2024
- SHA
- a7e71168
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Yuna-7b-Merge - GGUF
- Model creator: https://huggingface.co/Azazelle/
- Original model: https://huggingface.co/Azazelle/Yuna-7b-Merge/
| Name | Quant method | Size |
|---|---|---|
| Yuna-7b-Merge.Q2_K.gguf | Q2_K | 2.53GB |
| Yuna-7b-Merge.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| Yuna-7b-Merge.IQ3_S.gguf | IQ3_S | 2.96GB |
| Yuna-7b-Merge.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| Yuna-7b-Merge.IQ3_M.gguf | IQ3_M | 3.06GB |
| Yuna-7b-Merge.Q3_K.gguf | Q3_K | 3.28GB |
| Yuna-7b-Merge.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| Yuna-7b-Merge.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| Yuna-7b-Merge.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| Yuna-7b-Merge.Q4_0.gguf | Q4_0 | 3.83GB |
| Yuna-7b-Merge.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| Yuna-7b-Merge.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| Yuna-7b-Merge.Q4_K.gguf | Q4_K | 4.07GB |
| Yuna-7b-Merge.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| Yuna-7b-Merge.Q4_1.gguf | Q4_1 | 4.24GB |
| Yuna-7b-Merge.Q5_0.gguf | Q5_0 | 4.65GB |
| Yuna-7b-Merge.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| Yuna-7b-Merge.Q5_K.gguf | Q5_K | 4.78GB |
| Yuna-7b-Merge.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| Yuna-7b-Merge.Q5_1.gguf | Q5_1 | 5.07GB |
| Yuna-7b-Merge.Q6_K.gguf | Q6_K | 5.53GB |
| Yuna-7b-Merge.Q8_0.gguf | Q8_0 | 7.17GB |
Original model description:
pipeline_tag: text-generation tags:
- mistral
- merge license: cc-by-4.0
Model Card for Argetsu
<!-- Provide a quick summary of what the model is/does. -->Experimental DARE (no idea if this is decent).
.yaml file for mergekit
models:
- model: Dans-DiscountModels/Dans-07YahooAnswers-7b
# no parameters necessary for base model
- model: Azazelle/Maylin-7b #200
parameters:
weight: 0.45
density: 0.75
- model: Azazelle/smol_bruin-7b #175
parameters:
weight: 0.39
density: 0.70
- model: SanjiWatsuki/Kunoichi-7B #100
parameters:
weight: 0.22
density: 0.52
merge_method: dare_ties
base_model: Dans-DiscountModels/Dans-07YahooAnswers-7b
parameters:
int8_mask: true
dtype: bfloat16
- Created
- Jul 24, 2024
- Updated
- Jul 24, 2024