Model Card on HF 🤗: https://huggingface.co/microzen/Qwen2-1.5b
Qwen2 1.5B 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 1.5B Parameters and Internals
| LLM Name | Qwen2 1.5B |
| Repository 🤗 | https://huggingface.co/microzen/Qwen2-1.5b |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 1.1 GB |
| Updated | 2025-09-23 |
| Maintainer | microzen |
| Model Type | qwen2 |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Best Alternatives to Qwen2 1.5B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MedScholar 1.5B F32 GGUF | 0K / 0.7 GB | 395 | 3 |
| Qwen2 1.5B Instruct GGUF | 0K / 0.4 GB | 384 | 9 |
| Qwen2 1.5B Ita V2 | 0K / 0.1 GB | 14 | 0 |
| Jenna V3 Qwen2 1.5 GGUF | 0K / 3.1 GB | 13 | 1 |
| Jenna V3 Qwen2 1.5 GGUF Q4 | 0K / 1 GB | 13 | 0 |
| Qwen2 1.5B MAC Gguf Q8 0 | 0K / 0.4 GB | 23 | 0 |
| Qwen2 1.5B MAC Gguf Q4 K M | 0K / 0.3 GB | 22 | 0 |
| Qwen2 1.5B MAC Gguf F16 | 0K / 3.1 GB | 17 | 0 |
| Qwen2 1.5B Gguf F16 | 0K / 3.1 GB | 16 | 0 |
| Qwen2 1.5B MAC Gguf Q5 K M | 0K / 0.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than microzen/Qwen2-1.5b .
Rank the Qwen2 1.5B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124