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AshhLimaRP Mistral 7B by lemonilia

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  Autotrain compatible   Endpoints compatible   Gguf   License:apache-2.0   Lora   Mistral   Pytorch   Quantized   Region:us   Sharded

Rank the AshhLimaRP Mistral 7B 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  
Code Generation  
Multi-Language Support and Translation  
AshhLimaRP Mistral 7B (lemonilia/AshhLimaRP-Mistral-7B)

Quantized Models of the AshhLimaRP Mistral 7B

AshhLimaRP Mistral 7B GPTQ224 GB
AshhLimaRP Mistral 7B AWQ114 GB
AshhLimaRP Mistral 7B GGUF113 GB

Best Alternatives to AshhLimaRP Mistral 7B

Best Alternatives
HF Rank
Medilora Mistral 7B64.410K / 14.4 GB53
Asimov 7B V154.980K / 0.2 GB19861
...rix Philosophy Mistral 7B LoRA53.90K / 14.4 GB111
....5 Strix Philosophy Mistral 7B53.90K / 14.4 GB110
Asimov 7B V252.290K / 0.2 GB19920
V350.50K / 0 GB180
Cartesigpt46.90K / 0.4 GB350
Legal Summarizer0K / 14.4 GB110
Full V4 Astromistral Final32K / 4.5 GB2100
7B XXL0K /  GB70
Note: green Score (e.g. "73.2") means that the model is better than lemonilia/AshhLimaRP-Mistral-7B.

AshhLimaRP Mistral 7B Parameters and Internals

LLM NameAshhLimaRP Mistral 7B
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.4 GB
Model Files  4.4 GB   5.9 GB   2.7 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassLlamaTokenizer
LoRA ModelYes
PEFT Target Modulesk_proj|gate_proj|v_proj|q_proj|o_proj|up_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param256
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003