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RichardErkhov/nell123_-_phi-avg-gguf
nell123_-_phi-avg-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.
Downloads · 30 days
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.gguf45.9 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
phi-avg - GGUF
| Name | Quant method | Size |
|---|---|---|
| phi-avg.Q2_K.gguf | Q2_K | 1.32GB |
| phi-avg.Q3_K_S.gguf | Q3_K_S | 1.57GB |
| phi-avg.Q3_K.gguf | Q3_K | 1.82GB |
| phi-avg.Q3_K_M.gguf | Q3_K_M | 1.82GB |
| phi-avg.Q3_K_L.gguf | Q3_K_L | 1.94GB |
| phi-avg.IQ4_XS.gguf | IQ4_XS | 1.93GB |
| phi-avg.Q4_0.gguf | Q4_0 | 2.03GB |
| phi-avg.IQ4_NL.gguf | IQ4_NL | 2.04GB |
| phi-avg.Q4_K_S.gguf | Q4_K_S | 2.04GB |
| phi-avg.Q4_K.gguf | Q4_K | 2.23GB |
| phi-avg.Q4_K_M.gguf | Q4_K_M | 2.23GB |
| phi-avg.Q4_1.gguf | Q4_1 | 2.24GB |
| phi-avg.Q5_0.gguf | Q5_0 | 2.46GB |
| phi-avg.Q5_K_S.gguf | Q5_K_S | 2.46GB |
| phi-avg.Q5_K.gguf | Q5_K | 2.62GB |
| phi-avg.Q5_K_M.gguf | Q5_K_M | 2.62GB |
| phi-avg.Q5_1.gguf | Q5_1 | 2.68GB |
| phi-avg.Q6_K.gguf | Q6_K | 2.92GB |
| phi-avg.Q8_0.gguf | Q8_0 | 3.78GB |
base_model:
This is a merge of pre-trained language models created using mergekit.
This model was merged using the task arithmetic merge method using microsoft/Phi-3.5-mini-instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: "microsoft/Phi-3.5-mini-instruct"
parameters:
weight: 1.0
- model: "microsoft/Phi-3-mini-4k-instruct"
parameters:
weight: 0.6
- model: "microsoft/Phi-3-mini-128k-instruct"
parameters:
weight: 0.3
base_model: "microsoft/Phi-3.5-mini-instruct"
merge_method: task_arithmetic
dtype: float16