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: 0.15.
8-bit Conversational Endpoints compatible Exl2 Instruct Mistral Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/DrNicefellow/Mistral-Nemo-Instruct-2407-exl2-8bpw-h8
Mistral Nemo Instruct 2407 EXL2 8bpw H8 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Mistral Nemo Instruct 2407 EXL2 8bpw H8 Parameters and Internals
| LLM Name | Mistral Nemo Instruct 2407 EXL2 8bpw H8 |
| Repository 🤗 | https://huggingface.co/DrNicefellow/Mistral-Nemo-Instruct-2407-exl2-8bpw-h8 |
| Required VRAM | 12.6 GB |
| Updated | 2026-04-11 |
| Maintainer | DrNicefellow |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 131072 |
Best Alternatives to Mistral Nemo Instruct 2407 EXL2 8bpw H8
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dre Phi | 0K / 7.6 GB | 7 | 0 |
| Phi 3 Mini 4K CodeInstruct | 0K / 7.6 GB | 5 | 0 |
| ...3 Mini 4K Instruct Text To Sql | 0K / 7.6 GB | 16 | 0 |
| Phi 3 Mini 4K Python | 0K / 7.6 GB | 247 | 1 |
| VLM2Vec LoRA | 0K / 0 GB | 31 | 11 |
| Pipi | 0K / 2.4 GB | 13 | 0 |
| ... Mini 4K Instruct Chinese Lora | 0K / 0 GB | 7 | 6 |
| Falcon Camel Math Instruct | 0K / 0 GB | 5 | 1 |
| Instruct Igel 001 | 0K / 12.9 GB | 6 | 47 |
Note: green Score (e.g. "73.2") means that the model is better than DrNicefellow/Mistral-Nemo-Instruct-2407-exl2-8bpw-h8 .
Rank the Mistral Nemo Instruct 2407 EXL2 8bpw H8 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a