Autotrain compatible Base model:mistralai/mistral-n... Base model:quantized:mistralai... Conversational De En Es Fr Gguf Instruct It Ja Mistral Pt Q2 Quantized Region:us Ru Zh
Model Card on HF 🤗: https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF
Mistral Nemo Instruct 2407 GGUF 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 GGUF Parameters and Internals
| LLM Name | Mistral Nemo Instruct 2407 GGUF |
| Repository 🤗 | https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF |
| Model Name | Mistral-Nemo-Instruct-2407 |
| Model Creator | mistralai |
| Base Model(s) | |
| Required VRAM | 4.8 GB |
| Updated | 2025-02-05 |
| Maintainer | second-state |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en fr de es it pt ru zh ja |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q2|q4_k|q5_k |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 1024000 |
| Model Max Length | 1024000 |
| Transformers Version | 4.43.0.dev0 |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral Nemo Instruct 2407 GGUF
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| ...istral Nemo Instruct 2407 GGUF | 1000K / 4.8 GB | 618 | 6 |
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| Equall Saul Instruct V1 | 32K / 5.1 GB | 5 | 0 |
| R Model | 4K / 7.6 GB | 11 | 0 |
| ...eZephir Sft Instruct Ead 16bit | 32K / 14.4 GB | 56 | 0 |
| ... Instruct Unsloth Merged 16bit | 4K / 7.6 GB | 1 | 1 |
| ... Mini 4K Instruct Bnb 4bit Ita | 4K / 7.6 GB | 2755 | 0 |
| Phi 3 Mini Hospital Topic 50 | 4K / 7.6 GB | 79 | 0 |
| MainPHI3 | 4K / 7.6 GB | 77 | 0 |
| Model | 4K / 7.6 GB | 78 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than second-state/Mistral-Nemo-Instruct-2407-GGUF .
Rank the Mistral Nemo Instruct 2407 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227