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Sorawiz/Gemma-9B-Chat
Gemma-9B-Chat is a text generation model from Sorawiz. Use it when you need the model to write or continue text. It is set up for transformers.
This model was originally named "Gemma-Creative-9B-Base", but it has been renamed to "Gemma-9B-Chat" to better reflect its strengths in conversational AI. I want to express my gratitude to the users who quantized and…
Downloads · 30 days
49
4% of all-time downloads
All-time downloads
1.1K
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10.2B
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.safetensors20.3 GB · 100%
From the Hugging Face model README
This model was originally named "Gemma-Creative-9B-Base", but it has been renamed to "Gemma-9B-Chat" to better reflect its strengths in conversational AI. I want to express my gratitude to the users who quantized and shared this model. Unfortunately, due to the renaming, some existing links to the original model page may no longer work as expected. I will list links to their quantized versions of this model under the GGUF section below.
Gemma Instruct
<start_of_turn>user
{prompt}<end_of_turn>
<start_of_turn>model
<end_of_turn>
<start_of_turn>model
{{- $system := "" }}
{{- range .Messages }}
{{- if eq .Role "system" }}
{{- if not $system }}{{ $system = .Content }}
{{- else }}{{ $system = printf "%s\n\n%s" $system .Content }}
{{- end }}
{{- continue }}
{{- else if eq .Role "user" }}<start_of_turn>user
{{- if $system }}
{{ $system }}
{{- $system = "" }}
{{- end }}
{{- else if eq .Role "assistant" }}<start_of_turn>model
{{- end }}
{{ .Content }}<end_of_turn>
{{ end }}<start_of_turn>model
Thank you Otakadelic, zelk12 and mradermacher for creating the GGUF versions of this model.
Static quants - mradermacher/Gemma-Creative-9B-Base-GGUF
Q8_0 quant - Otakadelic/Gemma-Creative-9B-Base-Q8_0-GGUF
Q6_K quant - zelk12/Gemma-Creative-9B-Base-Q6_K-GGUF
Weighted/imatrix quants mradermacher/Gemma-Creative-9B-Base-i1-GGUF
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using zelk12/MT-Gen6fix-gemma-2-9B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: DreadPoor/Casuar-9B-Model_Stock
parameters:
density: 1.00
weight: 1.00
- model: Triangle104/Gemmadevi-Stock-10B
parameters:
density: 1.00
weight: 1.00
- model: TheDrummer/Gemmasutra-9B-v1.1
parameters:
density: 1.00
weight: 1.00
- model: TouchNight/gemma-2-Ifable-abliterated-9B-untied
parameters:
density: 1.00
weight: 1.00
- model: bunnycore/Gemma2-9B-TitanFusion
parameters:
density: 1.00
weight: 1.00
- model: lemon07r/Gemma-2-Ataraxy-v4d-9B
parameters:
density: 1.00
weight: 1.00
- model: allura-org/G2-9B-Aletheia-v1
parameters:
density: 0.75
weight: 1.00
merge_method: ties
base_model: zelk12/MT-Gen6fix-gemma-2-9B
parameters:
density: 1
normalize: true
dtype: bfloat16