Gemma-System-9B

3
9.0B
—
by
Gunulhona
Language Model
OTHER
9B params
New
3 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
21GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
9GB+ RAM

Training Data Analysis

🟡 Average (4.3/10)

Researched training datasets used by Gemma-System-9B with quality assessment

Specialized For

general
science
multilingual
reasoning

Training Datasets (3)

common crawl
🔴 2.5/10
general
science
Key Strengths
  • •Scale and Accessibility: At 9.5+ petabytes, Common Crawl provides unprecedented scale for training d...
  • •Diversity: The dataset captures billions of web pages across multiple domains and content types, ena...
  • •Comprehensive Coverage: Despite limitations, Common Crawl attempts to represent the broader web acro...
Considerations
  • •Biased Coverage: The crawling process prioritizes frequently linked domains, making content from dig...
  • •Large-Scale Problematic Content: Contains significant amounts of hate speech, pornography, violent c...
wikipedia
🟡 5/10
science
multilingual
Key Strengths
  • •High-Quality Content: Wikipedia articles are subject to community review, fact-checking, and citatio...
  • •Multilingual Coverage: Available in 300+ languages, enabling training of models that understand and ...
  • •Structured Knowledge: Articles follow consistent formatting with clear sections, allowing models to ...
Considerations
  • •Language Inequality: Low-resource language editions have significantly lower quality, fewer articles...
  • •Biased Coverage: Reflects biases in contributor demographics; topics related to Western culture and ...
arxiv
🟡 5.5/10
science
reasoning
Key Strengths
  • •Scientific Authority: Peer-reviewed content from established repository
  • •Domain-Specific: Specialized vocabulary and concepts
  • •Mathematical Content: Includes complex equations and notation
Considerations
  • •Specialized: Primarily technical and mathematical content
  • •English-Heavy: Predominantly English-language papers

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16
Configurationyaml
models:
  - model: INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
    layer_range: [0, 42]
  - model: lemon07r/Gemma-2-Ataraxy-9B
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16

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