Base model:locutusque/tinymist... Base model:quantized:locutusqu... En Endpoints compatible Gguf Instruct Mistral Quantized Region:us Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/tinymistralredq
Tinymistralredq Benchmarks
ARC: 24.32 vs 96.7 (so35)-74.9%
HellaSwag: 27.52 vs 95.3 (gpt4)-71.1%
MMLU: 25.18 vs 88.3 (so35)-71.5%
TruthfulQA: 41.94 vs 59 (gpt4)-28.9%
WinoGrande: 50.2 vs 87.5 (gpt4)-42.6%
LLME Score: 0.25928
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)
Tinymistralredq Parameters and Internals
| LLM Name | Tinymistralredq |
| Repository 🤗 | https://huggingface.co/Daemontatox/tinymistralredq |
| Base Model(s) | |
| Model Size | 248m |
| Required VRAM | 0.2 GB |
| Updated | 2024-08-11 |
| Maintainer | Daemontatox |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Tinymistralredq
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...istral 248M V2.5 Instruct GGUF | 0K / 0.1 GB | 92 | 2 |
| Tinymistralredq | 0K / 0.2 GB | 0 | 0 |
Rank the Tinymistralredq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217