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NaturalLM 7B Instruct by qingy2024

By qingy2024 · 17 downloads
HF Repo ↗ Copy URL

NaturalLM 7B Instruct is an open-source language model by qingy2024. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

  4bit   Conversational   Endpoints compatible   Instruct   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/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
Updated2026-08-01
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

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...aude Sonnet Mistral 7B It V0.332K / 14.5 GB72
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB791
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Mistral 7B Instruct V0.2 8bit32K / 7.6 GB51
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB716035
Mixtral V0.3 Full 16bit32K / 14.5 GB110
... 7B Instruct V0.3ContinuedFine32K / 14.5 GB140
Mistral 7B Instruct V0.3 4bit32K / 4.1 GB1249210
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
Note: green Score (e.g. "73.2") means that the model is better than qingy2024/NaturalLM-7B-Instruct.