Downloads · 30 days
184
7% of all-time downloads
thucdangvan020999_-_phi2_2.2B_mergkit_prunme-gguf
RichardErkhov/thucdangvan020999_-_phi2_2.2B_mergkit_prunme-gguf
thucdangvan020999_-_phi2_2.2B_mergkit_prunme-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
2.8K
Public
Repo size
22.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf27.1 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024
- SHA
- d65467d9
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
phi2_2.2B_mergkit_prunme - GGUF
- Model creator: https://huggingface.co/thucdangvan020999/
- Original model: https://huggingface.co/thucdangvan020999/phi2_2.2B_mergkit_prunme/
| Name | Quant method | Size |
|---|---|---|
| phi2_2.2B_mergkit_prunme.Q2_K.gguf | Q2_K | 0.84GB |
| phi2_2.2B_mergkit_prunme.Q3_K_S.gguf | Q3_K_S | 0.94GB |
| phi2_2.2B_mergkit_prunme.Q3_K.gguf | Q3_K | 1.07GB |
| phi2_2.2B_mergkit_prunme.Q3_K_M.gguf | Q3_K_M | 1.07GB |
| phi2_2.2B_mergkit_prunme.Q3_K_L.gguf | Q3_K_L | 1.18GB |
| phi2_2.2B_mergkit_prunme.IQ4_XS.gguf | IQ4_XS | 1.15GB |
| phi2_2.2B_mergkit_prunme.Q4_0.gguf | Q4_0 | 1.2GB |
| phi2_2.2B_mergkit_prunme.IQ4_NL.gguf | IQ4_NL | 1.21GB |
| phi2_2.2B_mergkit_prunme.Q4_K_S.gguf | Q4_K_S | 1.22GB |
| phi2_2.2B_mergkit_prunme.Q4_K.gguf | Q4_K | 1.31GB |
| phi2_2.2B_mergkit_prunme.Q4_K_M.gguf | Q4_K_M | 1.31GB |
| phi2_2.2B_mergkit_prunme.Q4_1.gguf | Q4_1 | 1.33GB |
| phi2_2.2B_mergkit_prunme.Q5_0.gguf | Q5_0 | 1.45GB |
| phi2_2.2B_mergkit_prunme.Q5_K_S.gguf | Q5_K_S | 1.45GB |
| phi2_2.2B_mergkit_prunme.Q5_K.gguf | Q5_K | 1.5GB |
| phi2_2.2B_mergkit_prunme.Q5_K_M.gguf | Q5_K_M | 1.5GB |
| phi2_2.2B_mergkit_prunme.Q5_1.gguf | Q5_1 | 1.57GB |
| phi2_2.2B_mergkit_prunme.Q6_K.gguf | Q6_K | 1.71GB |
| phi2_2.2B_mergkit_prunme.Q8_0.gguf | Q8_0 | 2.21GB |
Original model description:
base_model:
- microsoft/phi-2 library_name: transformers tags:
- mergekit
- merge
merged
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:
Configuration
The following YAML configuration was used to produce this model:
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 21]
model: microsoft/phi-2
- sources:
- layer_range: [28, 32]
model: microsoft/phi-2
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024