Tiny BloomForCausalLM Correct Vocab 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)
Tiny BloomForCausalLM Correct Vocab Parameters and Internals
| LLM Name | Tiny BloomForCausalLM Correct Vocab |
| Repository 🤗 | https://huggingface.co/trl-internal-testing/tiny-BloomForCausalLM-correct-vocab |
| Required VRAM | 0 GB |
| Updated | 2024-09-16 |
| Maintainer | trl-internal-testing |
| Model Type | bloom |
| Model Files | |
| Model Architecture | BloomForCausalLM |
| Transformers Version | 4.27.0.dev0 |
| Tokenizer Class | BloomTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 250880 |
| Torch Data Type | float32 |
Best Alternatives to Tiny BloomForCausalLM Correct Vocab
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ft Fpft Multilingual Bloom 7b1 | 0K / 28.2 GB | 1 | 1 |
| Tiny Random BloomForCausalLM | 0K / 0 GB | 13803 | 0 |
| Firefly Bloom 7b1 | 0K / 16.2 GB | 687 | 1 |
| Simple Finnish Gpt3 Xl | 0K / 0 GB | 14 | 1 |
| Firefly Bloom 2b6 V2 | 0K / 5 GB | 680 | 9 |
| Bloom Small 166 | 0K / 0.7 GB | 7 | 2 |
| Bloom 1b7 With Lm Head | 0K / 3.4 GB | 4347 | 0 |
| ClinicalGPT Base Zh | 0K / 15.8 GB | 2853 | 35 |
| Bloom 1b1 RLHF V2 | 0K / 2.1 GB | 716 | 0 |
| Tiny Random BloomForCausalLM | 0K / 0 GB | 66596 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than trl-internal-testing/tiny-BloomForCausalLM-correct-vocab .
Rank the Tiny BloomForCausalLM Correct Vocab Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803