burak_-_Trendyol-Turkcell-7b-mixture-gguf

RichardErkhov/burak_-_Trendyol-Turkcell-7b-mixture-gguf

burak_-_Trendyol-Turkcell-7b-mixture-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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.gguf96.8 GB · 100%

At a glance

Access: Public
Created: Sep 18, 2024
Updated: Sep 18, 2024
SHA: 21964a92

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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Trendyol-Turkcell-7b-mixture - GGUF

Model creator: https://huggingface.co/burak/
Original model: https://huggingface.co/burak/Trendyol-Turkcell-7b-mixture/

Name	Quant method	Size
Trendyol-Turkcell-7b-mixture.Q2_K.gguf	Q2_K	2.59GB
Trendyol-Turkcell-7b-mixture.IQ3_XS.gguf	IQ3_XS	2.87GB
Trendyol-Turkcell-7b-mixture.IQ3_S.gguf	IQ3_S	3.02GB
Trendyol-Turkcell-7b-mixture.Q3_K_S.gguf	Q3_K_S	3.01GB
Trendyol-Turkcell-7b-mixture.IQ3_M.gguf	IQ3_M	3.12GB
Trendyol-Turkcell-7b-mixture.Q3_K.gguf	Q3_K	3.34GB
Trendyol-Turkcell-7b-mixture.Q3_K_M.gguf	Q3_K_M	3.34GB
Trendyol-Turkcell-7b-mixture.Q3_K_L.gguf	Q3_K_L	3.62GB
Trendyol-Turkcell-7b-mixture.IQ4_XS.gguf	IQ4_XS	3.74GB
Trendyol-Turkcell-7b-mixture.Q4_0.gguf	Q4_0	3.89GB
Trendyol-Turkcell-7b-mixture.IQ4_NL.gguf	IQ4_NL	3.93GB
Trendyol-Turkcell-7b-mixture.Q4_K_S.gguf	Q4_K_S	3.92GB
Trendyol-Turkcell-7b-mixture.Q4_K.gguf	Q4_K	4.13GB
Trendyol-Turkcell-7b-mixture.Q4_K_M.gguf	Q4_K_M	4.13GB
Trendyol-Turkcell-7b-mixture.Q4_1.gguf	Q4_1	4.31GB
Trendyol-Turkcell-7b-mixture.Q5_0.gguf	Q5_0	4.73GB
Trendyol-Turkcell-7b-mixture.Q5_K_S.gguf	Q5_K_S	4.73GB
Trendyol-Turkcell-7b-mixture.Q5_K.gguf	Q5_K	4.85GB
Trendyol-Turkcell-7b-mixture.Q5_K_M.gguf	Q5_K_M	4.85GB
Trendyol-Turkcell-7b-mixture.Q5_1.gguf	Q5_1	5.14GB
Trendyol-Turkcell-7b-mixture.Q6_K.gguf	Q6_K	5.61GB
Trendyol-Turkcell-7b-mixture.Q8_0.gguf	Q8_0	7.27GB

Original model description:

license: apache-2.0 tags:

merge
mergekit
lazymergekit
Trendyol/Trendyol-LLM-7b-chat-v1.0
TURKCELL/Turkcell-LLM-7b-v1

Trendyol-Turkcell-7b-mixture

Trendyol-Turkcell-7b-mixture is a merge of the following models using mergekit:

🧩 Configuration

slices:
  - sources:
      - model: Trendyol/Trendyol-LLM-7b-chat-v1.0
        layer_range: [0, 32]
      - model: TURKCELL/Turkcell-LLM-7b-v1
        layer_range: [0, 32]
merge_method: slerp
base_model: Trendyol/Trendyol-LLM-7b-chat-v1.0
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

Created: Sep 18, 2024
Updated: Sep 18, 2024