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Replete-AI_-_Phi-5B-Test-gguf
RichardErkhov/Replete-AI_-_Phi-5B-Test-gguf
Replete-AI_-_Phi-5B-Test-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
60.9 GB
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0
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Repo makeup
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.gguf70.7 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 3, 2024
- Updated
- Oct 4, 2024
- SHA
- 23746a1c
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Phi-5B-Test - GGUF
- Model creator: https://huggingface.co/Replete-AI/
- Original model: https://huggingface.co/Replete-AI/Phi-5B-Test/
| Name | Quant method | Size |
|---|---|---|
| Phi-5B-Test.Q2_K.gguf | Q2_K | 1.92GB |
| Phi-5B-Test.IQ3_XS.gguf | IQ3_XS | 2.08GB |
| Phi-5B-Test.IQ3_S.gguf | IQ3_S | 2.18GB |
| Phi-5B-Test.Q3_K_S.gguf | Q3_K_S | 2.18GB |
| Phi-5B-Test.IQ3_M.gguf | IQ3_M | 2.31GB |
| Phi-5B-Test.Q3_K.gguf | Q3_K | 2.5GB |
| Phi-5B-Test.Q3_K_M.gguf | Q3_K_M | 2.5GB |
| Phi-5B-Test.Q3_K_L.gguf | Q3_K_L | 2.78GB |
| Phi-5B-Test.IQ4_XS.gguf | IQ4_XS | 2.69GB |
| Phi-5B-Test.Q4_0.gguf | Q4_0 | 2.81GB |
| Phi-5B-Test.IQ4_NL.gguf | IQ4_NL | 2.84GB |
| Phi-5B-Test.Q4_K_S.gguf | Q4_K_S | 2.84GB |
| Phi-5B-Test.Q4_K.gguf | Q4_K | 3.07GB |
| Phi-5B-Test.Q4_K_M.gguf | Q4_K_M | 3.07GB |
| Phi-5B-Test.Q4_1.gguf | Q4_1 | 3.11GB |
| Phi-5B-Test.Q5_0.gguf | Q5_0 | 3.42GB |
| Phi-5B-Test.Q5_K_S.gguf | Q5_K_S | 3.42GB |
| Phi-5B-Test.Q5_K.gguf | Q5_K | 3.55GB |
| Phi-5B-Test.Q5_K_M.gguf | Q5_K_M | 3.55GB |
| Phi-5B-Test.Q5_1.gguf | Q5_1 | 3.72GB |
| Phi-5B-Test.Q6_K.gguf | Q6_K | 4.05GB |
| Phi-5B-Test.Q8_0.gguf | Q8_0 | 5.25GB |
Original model description:
base_model: [] tags:
- mergekit
- merge license: mit
Untitled Model (1)
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
-
and then depth upscaled
Configuration
The following YAML configuration was used to produce this model:
models:
- model: liminerity/Phigments12
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- model: l3utterfly/phi-2-layla-v1-chatml
parameters:
density: 0.8
weight: [0, 0.5, 0.7, 1] # weight gradient
merge_method: dare_ties
base_model: liminerity/Phigments12
parameters:
normalize: true
int8_mask: true
dtype: float16
dtype: float16
merge_method: passthrough
slices:
- sources:
- model: phi/
layer_range: [0,32]
- sources:
- model: phi/
layer_range: [0,32]
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- Created
- Oct 3, 2024
- Updated
- Oct 4, 2024