LLM EXPLORER 60,645 MODELS INDEXED

Mistral Nemo Instruct 2407 EXL2 8bpw H8 by DrNicefellow

By DrNicefellow · 7 downloads

Mistral Nemo Instruct 2407 EXL2 8bpw H8 is an open-source language model by DrNicefellow. Features: LLM, VRAM: 12.6GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  8-bit   Conversational   Endpoints compatible   Exl2   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mistral Nemo Instruct 2407 EXL2 8bpw H8 Parameters and Internals

LLM NameMistral Nemo Instruct 2407 EXL2 8bpw H8
Repository πŸ€—https://huggingface.co/DrNicefellow/Mistral-Nemo-Instruct-2407-exl2-8bpw-h8 
Required VRAM12.6 GB
Updated2026-08-01
MaintainerDrNicefellow
Instruction-BasedYes
Model Files  8.6 GB: 1-of-2   4.0 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size131072

Best Alternatives to Mistral Nemo Instruct 2407 EXL2 8bpw H8

Best Alternatives
Context / RAM
Downloads
Likes
Dre Phi0K / 7.6 GB70
Phi 3 Mini 4K CodeInstruct0K / 7.6 GB100
...3 Mini 4K Instruct Text To Sql0K / 7.6 GB120
Phi 3 Mini 4K Python0K / 7.6 GB6321
VLM2Vec LoRA0K / 0 GB9611
Pipi0K / 2.4 GB130
... Mini 4K Instruct Chinese Lora0K / 0 GB86
Falcon Camel Math Instruct0K / 0 GB21
Instruct Igel 0010K / 12.9 GB1347
Note: green Score (e.g. "73.2") means that the model is better than DrNicefellow/Mistral-Nemo-Instruct-2407-exl2-8bpw-h8.