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Cpt Qlora Merged V1 by RyotaKadoya1993

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  Merged Model   4bit   Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-...   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Cpt Qlora Merged V1 Parameters and Internals

LLM NameCpt Qlora Merged V1
RepositoryOpen on 🤗 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2024-07-27
MaintainerRyotaKadoya1993
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16
Cpt Qlora Merged V1 (RyotaKadoya1993/cpt_qlora_merged_v1)

Best Alternatives to Cpt Qlora Merged V1

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
...B Instruct Gradient 1048K 4bit0.21024K / 4.5 GB132
...B Instruct Gradient 1048K 8bit0.21024K / 8.6 GB161
...truct Gradient 1048K Bpw6 EXL20.21024K / 6.7 GB112
...truct Gradient 1048K Bpw5 EXL20.21024K / 5.8 GB60
Llama 3 8B Instruct 1048K 4bit0.21024K / 4.5 GB2925
Llama 3 8B Instruct 1048K 8bit0.21024K / 8.6 GB1216
... Gradient 1048K 8.0bpw H8 EXL20.21024K / 8.6 GB103
...ct Gradient 1048K Bpw2.25 EXL20.21024K / 3.4 GB71
...B Instruct 262k V2 EXL2 8.0bpw0.2256K / 8.4 GB410
Llama 3 8B Instruct 262K 2bit0.2256K / 2.5 GB101
Note: green Score (e.g. "73.2") means that the model is better than RyotaKadoya1993/cpt_qlora_merged_v1.

Rank the Cpt Qlora Merged V1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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Release v2024072501
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