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Undi95_-_PsyMedRP-v1-20B-gguf
RichardErkhov/Undi95_-_PsyMedRP-v1-20B-gguf
Undi95_-_PsyMedRP-v1-20B-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
3.7K
Public
Repo size
120 GB
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1
Public
Repo makeup
Click a slice to open those files.
.gguf130 GB · 100%
At a glance
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024
- SHA
- ea8be027
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
PsyMedRP-v1-20B - GGUF
- Model creator: https://huggingface.co/Undi95/
- Original model: https://huggingface.co/Undi95/PsyMedRP-v1-20B/
| Name | Quant method | Size |
|---|---|---|
| PsyMedRP-v1-20B.Q2_K.gguf | Q2_K | 6.91GB |
| PsyMedRP-v1-20B.IQ3_XS.gguf | IQ3_XS | 7.63GB |
| PsyMedRP-v1-20B.IQ3_S.gguf | IQ3_S | 8.06GB |
| PsyMedRP-v1-20B.Q3_K_S.gguf | Q3_K_S | 8.06GB |
| PsyMedRP-v1-20B.IQ3_M.gguf | IQ3_M | 8.53GB |
| PsyMedRP-v1-20B.Q3_K.gguf | Q3_K | 9.04GB |
| PsyMedRP-v1-20B.Q3_K_M.gguf | Q3_K_M | 9.04GB |
| PsyMedRP-v1-20B.Q3_K_L.gguf | Q3_K_L | 9.9GB |
| PsyMedRP-v1-20B.IQ4_XS.gguf | IQ4_XS | 10.01GB |
| PsyMedRP-v1-20B.Q4_0.gguf | Q4_0 | 8.93GB |
| PsyMedRP-v1-20B.IQ4_NL.gguf | IQ4_NL | 3.54GB |
| PsyMedRP-v1-20B.Q4_K_S.gguf | Q4_K_S | 1.47GB |
| PsyMedRP-v1-20B.Q4_K.gguf | Q4_K | 0.25GB |
| PsyMedRP-v1-20B.Q4_K_M.gguf | Q4_K_M | 0.19GB |
| PsyMedRP-v1-20B.Q4_1.gguf | Q4_1 | 0.19GB |
| PsyMedRP-v1-20B.Q5_0.gguf | Q5_0 | 12.83GB |
| PsyMedRP-v1-20B.Q5_K_S.gguf | Q5_K_S | 6.7GB |
| PsyMedRP-v1-20B.Q5_K.gguf | Q5_K | 3.78GB |
| PsyMedRP-v1-20B.Q5_K_M.gguf | Q5_K_M | 1.97GB |
| PsyMedRP-v1-20B.Q5_1.gguf | Q5_1 | 1.67GB |
| PsyMedRP-v1-20B.Q6_K.gguf | Q6_K | 1.25GB |
| PsyMedRP-v1-20B.Q8_0.gguf | Q8_0 | 1.02GB |
Original model description:
license: cc-by-nc-4.0 tags:
- not-for-all-audiences
- nsfw
PsyMedRP-v1-13B-p1:
[jondurbin/airoboros-l2-13b-3.0](0.85) x [ehartford/Samantha-1.11-13b](0.15)
PsyMedRP-v1-13B-p2:
[Xwin-LM/Xwin-LM-13B-V0.1](0.85) x [chaoyi-wu/MedLLaMA_13B](0.15)
PsyMedRP-v1-20B-p1:
[PsyMedRP-v1-13B-p1](0.90) x [migtissera/Synthia-13B-v1.2](0.10)
PsyMedRP-v1-20B-p2:
[PsyMedRP-v1-13B-p2](0.90) x [migtissera/Synthia-13B-v1.2](0.10)
PsyMedRP-v1-20B-p3:
[Huginn merge with Gryphe gradient to PsyMedRP-v1-20B-p1]
PsyMedRP-v1-20B-p4:
[Huginn merge with Gryphe gradient to PsyMedRP-v1-20B-p2]
PsyMedRP-v1-20B-p5:
Apply Undi95/LimaRP-v3-120-Days at 0.3 weight to PsyMedRP-v1-20B-p3
PsyMedRP-v1-20B-p6:
Apply Undi95/LimaRP-v3-120-Days at 0.3 weight to PsyMedRP-v1-20B-p4
PsyMedRP-v1-20B:
layer_slices:
- model: PsyMedRP-v1-20B-p5
start: 0
end: 16
- model: PsyMedRP-v1-20B-p6
start: 8
end: 20
- model: PsyMedRP-v1-20B-p5
start: 17
end: 32
- model: PsyMedRP-v1-20B-p6
start: 21
end: 40
In testing.
If you want to support me, you can here.
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024