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eldogbbhed_-_Peagle-9b-gguf
RichardErkhov/eldogbbhed_-_Peagle-9b-gguf
eldogbbhed_-_Peagle-9b-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.
All-time downloads
273
Public
Repo size
102 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf118 GB · 100%
At a glance
- Access
- Public
- Created
- Jun 14, 2024
- Updated
- Jun 14, 2024
- SHA
- c956fe07
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Peagle-9b - GGUF
- Model creator: https://huggingface.co/eldogbbhed/
- Original model: https://huggingface.co/eldogbbhed/Peagle-9b/
| Name | Quant method | Size |
|---|---|---|
| Peagle-9b.Q2_K.gguf | Q2_K | 3.13GB |
| Peagle-9b.IQ3_XS.gguf | IQ3_XS | 3.48GB |
| Peagle-9b.IQ3_S.gguf | IQ3_S | 3.67GB |
| Peagle-9b.Q3_K_S.gguf | Q3_K_S | 3.65GB |
| Peagle-9b.IQ3_M.gguf | IQ3_M | 3.79GB |
| Peagle-9b.Q3_K.gguf | Q3_K | 4.05GB |
| Peagle-9b.Q3_K_M.gguf | Q3_K_M | 4.05GB |
| Peagle-9b.Q3_K_L.gguf | Q3_K_L | 4.41GB |
| Peagle-9b.IQ4_XS.gguf | IQ4_XS | 4.55GB |
| Peagle-9b.Q4_0.gguf | Q4_0 | 4.74GB |
| Peagle-9b.IQ4_NL.gguf | IQ4_NL | 4.79GB |
| Peagle-9b.Q4_K_S.gguf | Q4_K_S | 4.78GB |
| Peagle-9b.Q4_K.gguf | Q4_K | 5.04GB |
| Peagle-9b.Q4_K_M.gguf | Q4_K_M | 5.04GB |
| Peagle-9b.Q4_1.gguf | Q4_1 | 5.26GB |
| Peagle-9b.Q5_0.gguf | Q5_0 | 5.77GB |
| Peagle-9b.Q5_K_S.gguf | Q5_K_S | 5.77GB |
| Peagle-9b.Q5_K.gguf | Q5_K | 5.93GB |
| Peagle-9b.Q5_K_M.gguf | Q5_K_M | 5.93GB |
| Peagle-9b.Q5_1.gguf | Q5_1 | 6.29GB |
| Peagle-9b.Q6_K.gguf | Q6_K | 6.87GB |
| Peagle-9b.Q8_0.gguf | Q8_0 | 8.89GB |
Original model description:
license: cc-by-nc-4.0 tags:
- merge
- mergekit
- vortexmergekit
- mlabonne/NeuralBeagle14-7B
- eldogbbhed/NeuralPearlBeagle
Peagle-9b
Hey there! 👋 Welcome to the Peagle-14b! This is a merge of multiple models brought together using the awesome VortexMerge kit.
Let's see what we've got in this merge:
🧩 Configuration
slices:
- sources:
- model: mlabonne/NeuralBeagle14-7B
layer_range: [0, 20]
- sources:
- model: eldogbbhed/NeuralPearlBeagle
layer_range: [12, 32]
merge_method: passthrough
- Created
- Jun 14, 2024
- Updated
- Jun 14, 2024