Model Card on HF 🤗: https://huggingface.co/FabbriSimo01/Bloom_1b_Quantized
Bloom 1b Quantized Benchmarks
ARC: 27.73 vs 96.7 (so35)-71.3%
HellaSwag: 42.83 vs 95.3 (gpt4)-55.1%
MMLU: 26.28 vs 88.3 (so35)-70.2%
TruthfulQA: 41.82 vs 59 (gpt4)-29.1%
WinoGrande: 55.64 vs 87.5 (gpt4)-36.4%
GSM8K: 0.15 vs 96.4 (so35)-99.8%
LLME Score: 0.18038
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)
Bloom 1B Quantized Parameters and Internals
| LLM Name | Bloom 1b Quantized |
| Repository 🤗 | https://huggingface.co/FabbriSimo01/Bloom_1b_Quantized |
| Model Size | 1b |
| Required VRAM | 1.4 GB |
| Updated | 2025-02-22 |
| Maintainer | FabbriSimo01 |
| Model Type | bloom |
| Model Files | |
| Model Architecture | BloomForCausalLM |
| License | bigscience-bloom-rail-1.0 |
| Transformers Version | 4.31.0.dev0 |
| Tokenizer Class | BloomTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 250880 |
| Torch Data Type | float16 |
Best Alternatives to Bloom 1B Quantized
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Bloom 7b1 Petals | 0K / 2.1 GB | 7 | 1 |
| FlorRAG 4bit | 0K / 3.6 GB | 12 | 0 |
| Chatbloom 1b7 Sft | 0K / 1.4 GB | 37 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than FabbriSimo01/Bloom_1b_Quantized .
Rank the Bloom 1B Quantized Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227