Bloomz 1b7 Instruct 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)
Bloomz 1b7 Instruct Parameters and Internals
| LLM Name | Bloomz 1b7 Instruct |
| Repository 🤗 | https://huggingface.co/cahya/bloomz-1b7-instruct |
| Required VRAM | 3.4 GB |
| Updated | 2024-09-16 |
| Maintainer | cahya |
| Model Type | bloom |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en id |
| Model Architecture | BloomForCausalLM |
| License | bigscience-openrail-m |
| Transformers Version | 4.28.0.dev0 |
| Tokenizer Class | BloomTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 250680 |
| Torch Data Type | float16 |
Best Alternatives to Bloomz 1b7 Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| DElefant | 0K / 12.5 GB | 5 | 4 |
| Bloom 6b4 Clp German Instruct | 0K / 13.8 GB | 5 | 1 |
| Bloomz 1b1 Instruct | 0K / 4.3 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than cahya/bloomz-1b7-instruct .
Rank the Bloomz 1b7 Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803