Model by taradepan

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  4bit   Autotrain compatible Base model:unsloth/gemma-7b-bn...   En   Endpoints compatible   Gemma   License:apache-2.0   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth

Model Parameters and Internals

LLM NameModel
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Gemma 7B Bnb 4bit   unsloth/gemma-7b-bnb-4bit
Model Size7b
Required VRAM17.1 GB
Updated2024-07-04
Maintainertaradepan
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16
Model (taradepan/model)

Best Alternatives to Model

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
...t Cleaner Gemma 32k Merged 16b0.231K / 17.1 GB110
...ruct Malayalam Model Vllm 4bit0.216K / 5.6 GB320
Fbt Gemma 7B0.38K / 17.1 GB2600
Gemma 7B Bnb 4bit0.38K / 5.6 GB754316
Fbt Gemma 7B Inst0.28K / 17.1 GB2590
Gemma 1.1 7B It Bnb 4bit0.28K / 5.6 GB8212
Diff Codegemma 7B0.28K / 17.1 GB200
Gemma 7B It Bnb 4bit0.28K / 5.6 GB201113
Codegemma 7B It 8bit0.28K / 9.5 GB154
Codegemma 7B It 4bit0.28K / 5.9 GB91
Note: green Score (e.g. "73.2") means that the model is better than taradepan/model.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501