Autotrain compatible Conversational Dataset:azure99/blossom-chat-v... Dataset:azure99/blossom-math-v... Dataset:azure99/blossom-orca-v... Dataset:azure99/blossom-wizard... En Endpoints compatible Qwen2 Region:us Safetensors Zh
Blossom V5 4B Benchmarks
ARC: 46.76 vs 96.7 (so35)-51.6%
HellaSwag: 71.87 vs 95.3 (gpt4)-24.6%
MMLU: 55.04 vs 88.3 (so35)-37.7%
TruthfulQA: 47.51 vs 59 (gpt4)-19.5%
WinoGrande: 67.4 vs 87.5 (gpt4)-23%
GSM8K: 48.37 vs 96.4 (so35)-49.8%
LLME Score: 0.21935
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)
Blossom V5 4B Parameters and Internals
| LLM Name | Blossom V5 4B |
| Repository 🤗 | https://huggingface.co/Azure99/blossom-v5-4b |
| Model Size | 4b |
| Required VRAM | 7.9 GB |
| Updated | 2024-10-18 |
| Maintainer | Azure99 |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | zh en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Blossom V5 4B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen1.5 4B Chat | 32K / 7.9 GB | 6827 | 38 |
| Qwen1.5 4B | 32K / 7.9 GB | 10211 | 34 |
| Nusantara 4B Indo Chat | 32K / 7.9 GB | 453 | 1 |
| Sailor 4B | 32K / 7.9 GB | 75 | 6 |
| Sailor 4B Chat | 32K / 7.9 GB | 78 | 2 |
| Qwen 4B Flock 1719855002 | 32K / 7.9 GB | 5 | 0 |
| Qwen 4B Flock 1719848483 | 32K / 7.9 GB | 5 | 0 |
| NOVA 4B | 32K / 14.3 GB | 5 | 0 |
| Qwen 4B Flock 1719561695 | 32K / 7.9 GB | 5 | 0 |
| Qwen 4B Flock 1719564964 | 32K / 7.9 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Azure99/blossom-v5-4b .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803