Model Card on HF 🤗: https://huggingface.co/cnmoro/jack-68m-text-structurization
Jack 68M Text Structurization 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)
Jack 68M Text Structurization Parameters and Internals
| Model Type |
| |
| Supported Languages |
|
| LLM Name | Jack 68M Text Structurization |
| Repository 🤗 | https://huggingface.co/cnmoro/jack-68m-text-structurization |
| Model Size | 68m |
| Required VRAM | 0.1 GB |
| Updated | 2024-11-18 |
| Maintainer | cnmoro |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Jack 68M Text Structurization
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 68M Fft | 4K / 0.1 GB | 312 | 0 |
| Llama 43M Beta | 2K / 0.2 GB | 229 | 0 |
| Llama 68M Chat V1 | 2K / 0.3 GB | 1232 | 11 |
| Llama 68M | 2K / 0 GB | 517565 | 26 |
| Vicuna 68M | 2K / 0.3 GB | 2732 | 3 |
| Gpt2 Sft Dutch | 2K / 0.1 GB | 20 | 0 |
| Llama 68M Oasst Top1 | 2K / 0.3 GB | 155 | 0 |
| Llama 68M Finetuned Wikitext2 | 2K / 0.3 GB | 164 | 0 |
| Llama 68M Oasst | 2K / 0.3 GB | 93 | 0 |
| JackFram Llama 68M | 2K / 0.3 GB | 119 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than cnmoro/jack-68m-text-structurization .
Rank the Jack 68M Text Structurization Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227