Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-n... Conversational De En Endpoints compatible Es Fr Instruct It Ja Mistral Pt Region:us Ru Safetensors Sharded Tensorflow Zh
Mistral Nemo Instruct 2407 Benchmarks
MMLU Pro: 26.37
GPQA: 8.72
MUSR: 8.48
BBH: 27.11
IFEval: 62.61 vs 88 (so35)-28.9%
MATH Lvl 5: 0.3
LLME Score: 0.56996
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 Parameters and Internals
| LLM Name | Mistral Nemo Instruct 2407 |
| Repository 🤗 | https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407 |
| Base Model(s) | |
| Model Size | 12.2b |
| Required VRAM | 24.5 GB |
| Updated | 2024-09-19 |
| Maintainer | mistralai |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en fr de es it pt ru zh ja |
| Gated Model | Yes |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 131072 |
Quantized Models of the Mistral Nemo Instruct 2407
Model |
Likes |
Downloads |
VRAM |
|---|---|---|---|
| ...istral Nemo Instruct 2407 GGUF | 63 | 20235 | 4 GB |
Rank the Mistral Nemo Instruct 2407 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803