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NaturalLM 7B Instruct by qingy2024

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Model Card on HF 🤗: https://huggingface.co/qingy2024/NaturalLM-7B-Instruct 

NaturalLM 7B Instruct Benchmarks

LLME Score: 0.32237
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NaturalLM 7B Instruct (qingy2024/NaturalLM-7B-Instruct)

NaturalLM 7B Instruct Parameters and Internals

LLM NameNaturalLM 7B Instruct
Repository 🤗https://huggingface.co/qingy2024/NaturalLM-7B-Instruct 
Model Size7b
Required VRAM14.5 GB
Updated2024-12-22
Maintainerqingy2024
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to NaturalLM 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
...al Nemo Instruct 2407 Bnb 4bit1000K / 8.3 GB1749125
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB27826615
Mistral 7B V0.3 Bnb 4bit32K / 4.1 GB6338413
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB6391
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB90
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1170731
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB221
Mistral Turkish V232K / 14.4 GB30686
Minirewrite32K / 15.8 GB230
Note: green Score (e.g. "73.2") means that the model is better than qingy2024/NaturalLM-7B-Instruct.

Rank the NaturalLM 7B Instruct 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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Release v20241217
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