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RichardErkhov/Yash21_-_TinyYi-7B-Test-gguf
Yash21_-_TinyYi-7B-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.
Downloads · 30 days
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.gguf80.4 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
TinyYi-7B-Test - GGUF
| Name | Quant method | Size |
|---|---|---|
| TinyYi-7B-Test.Q2_K.gguf | Q2_K | 2.18GB |
| TinyYi-7B-Test.IQ3_XS.gguf | IQ3_XS | 2.41GB |
| TinyYi-7B-Test.IQ3_S.gguf | IQ3_S | 2.53GB |
| TinyYi-7B-Test.Q3_K_S.gguf | Q3_K_S | 2.52GB |
| TinyYi-7B-Test.IQ3_M.gguf | IQ3_M | 2.62GB |
| TinyYi-7B-Test.Q3_K.gguf | Q3_K | 2.79GB |
| TinyYi-7B-Test.Q3_K_M.gguf | Q3_K_M | 2.79GB |
| TinyYi-7B-Test.Q3_K_L.gguf | Q3_K_L | 3.01GB |
| TinyYi-7B-Test.IQ4_XS.gguf | IQ4_XS | 3.11GB |
| TinyYi-7B-Test.Q4_0.gguf | Q4_0 | 3.24GB |
| TinyYi-7B-Test.IQ4_NL.gguf | IQ4_NL | 3.27GB |
| TinyYi-7B-Test.Q4_K_S.gguf | Q4_K_S | 3.26GB |
| TinyYi-7B-Test.Q4_K.gguf | Q4_K | 3.42GB |
| TinyYi-7B-Test.Q4_K_M.gguf | Q4_K_M | 3.42GB |
| TinyYi-7B-Test.Q4_1.gguf | Q4_1 | 3.58GB |
| TinyYi-7B-Test.Q5_0.gguf | Q5_0 | 3.92GB |
| TinyYi-7B-Test.Q5_K_S.gguf | Q5_K_S | 3.92GB |
| TinyYi-7B-Test.Q5_K.gguf | Q5_K | 4.01GB |
| TinyYi-7B-Test.Q5_K_M.gguf | Q5_K_M | 4.01GB |
| TinyYi-7B-Test.Q5_1.gguf | Q5_1 | 4.25GB |
| TinyYi-7B-Test.Q6_K.gguf | Q6_K | 4.63GB |
| TinyYi-7B-Test.Q8_0.gguf | Q8_0 | 6.0GB |
license: apache-2.0 tags:
This model is a merge of the following models:
slices:
- sources:
- model: Yash21/DeepYi-Base
layer_range: [0, 32]
- model: Yash21/DeepYi-Second
layer_range: [0, 32]
merge_method: slerp
base_model: Yash21/DeepYi-Base
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
Please Reach Out to [email protected] if you want to support me to Fine tune the models and create more such exciting models