Qwen2 Tiny Random 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)
Qwen2 Tiny Random Parameters and Internals
| LLM Name | Qwen2 Tiny Random |
| Repository 🤗 | https://huggingface.co/yujiepan/qwen2-tiny-random |
| Model Size | 72b |
| Required VRAM | 0 GB |
| Updated | 2024-09-01 |
| Maintainer | yujiepan |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2 Tiny Random
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2 72B Instruct | 32K / 145.5 GB | 102286 | 648 |
| RYS XLarge | 32K / 156.3 GB | 3374 | 56 |
| Calme 2.1 Qwen2 72B | 32K / 146 GB | 5540 | 25 |
| Smaug Qwen2 72B Instruct | 32K / 146 GB | 2500 | 5 |
| MG FinalMix 72B | 32K / 146.1 GB | 727 | 2 |
| Qwen2 72B Instruct V0.1 | 32K / 146 GB | 83 | 8 |
| Magnum V1 72B | 32K / 146 GB | 3203 | 158 |
| Magnum V2 72B | 32K / 146 GB | 636 | 20 |
| Qwen2 72B Instruct FP8 | 32K / 75.5 GB | 397 | 8 |
| ...72B Instruct Every Other Layer | 32K / 0 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than yujiepan/qwen2-tiny-random .
Rank the Qwen2 Tiny Random Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803