Qwama 0.5B 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)
Qwama 0.5B Instruct Parameters and Internals
| LLM Name | Qwama 0.5B Instruct |
| Repository 🤗 | https://huggingface.co/turboderp/Qwama-0.5B-Instruct |
| Model Size | 0.5b |
| Required VRAM | 0.9 GB |
| Updated | 2024-10-18 |
| Maintainer | turboderp |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Qwama 0.5B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2 0.5B Abyme Merge3 | 128K / 1.3 GB | 6 | 0 |
| Qwen2 0.5B Abyme Merge2 | 128K / 0.3 GB | 6 | 0 |
| Qwen2.5 0.5B Instruct | 32K / 1 GB | 174739 | 76 |
| Qwen2 0.5B Instruct | 32K / 1 GB | 294370 | 156 |
| Reasoning 0.5B | 32K / 1 GB | 1354 | 23 |
| Vikhr Qwen 2.5 0.5B Instruct | 32K / 1 GB | 530 | 6 |
| Qwen2.5 0.5B Instruct | 32K / 1 GB | 1795 | 1 |
| Qwen2.5 0.5B Test Ft | 32K / 1 GB | 395 | 4 |
| Replete LLM V2.5 Qwen 0.5B | 32K / 1.3 GB | 202 | 2 |
| ...n2.5 0.5B Instruct Abliterated | 32K / GB | 30 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than turboderp/Qwama-0.5B-Instruct .
Rank the Qwama 0.5B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803