Mistral Llm V4 by Bharat05092003

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  4bit   Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   En   Endpoints compatible   Gguf   Lora   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Trl   Unsloth

Mistral Llm V4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Llm V4 (Bharat05092003/mistral_llm_v4)

Mistral Llm V4 Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameMistral Llm V4
Repository ๐Ÿค—https://huggingface.co/Bharat05092003/mistral_llm_v4 
Base Model(s)  Mistral 7B Bnb 4bit   unsloth/mistral-7b-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
MaintainerBharat05092003
Model Files  0.2 GB   4.4 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|up_proj|o_proj|v_proj|k_proj|q_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than Bharat05092003/mistral_llm_v4.

Rank the Mistral Llm V4 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217