Autotrain compatible Danbooru Dataset:isek-ai/danbooru-tags-... Mistral Onnx Optimum Region:us Safetensors Sft Trl
Model Card on HF 🤗: https://huggingface.co/p1atdev/dart-v2-base
Dart V2 Base 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)
Dart V2 Base Parameters and Internals
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| LLM Name | Dart V2 Base |
| Repository 🤗 | https://huggingface.co/p1atdev/dart-v2-base |
| Model Size | 100m |
| Required VRAM | 0.2 GB |
| Updated | 2025-02-22 |
| Maintainer | p1atdev |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|pad|> |
| Vocabulary Size | 30649 |
| Torch Data Type | bfloat16 |
Best Alternatives to Dart V2 Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Endurance 100B V1 | 128K / 200.1 GB | 13 | 13 |
| Endurance 100B V1.1 | 128K / 200.2 GB | 27 | 3 |
| Lazarus 2407 100B | 128K / 200.2 GB | 8 | 8 |
| Mistral 100M Textbooks | 32K / 0.5 GB | 1981 | 3 |
| Dart V2 Sft | 1K / 0.2 GB | 961 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than p1atdev/dart-v2-base .
Rank the Dart V2 Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227