MistralNemoTiny is an open-source language model by kotyKD. Features: 4.6b LLM, VRAM: 9.3GB, Context: 1000K, Instruction-Based, Merged, LLM Explorer Score: 0.15.
Merged Model Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-nem... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/kotyKD/MistralNemoTiny
MistralNemoTiny 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)
MistralNemoTiny Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | MistralNemoTiny |
| Repository 🤗 | https://huggingface.co/kotyKD/MistralNemoTiny |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 4.6b |
| Required VRAM | 9.3 GB |
| Updated | 2025-01-02 |
| Maintainer | kotyKD |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 1024000 |
| Model Max Length | 1024000 |
| Transformers Version | 4.43.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a