Model Card on HF 🤗: https://huggingface.co/sumink/Qwenftmodel
Qwenftmodel Benchmarks
MMLU Pro: 14.88
GPQA: 0.89
MUSR: 4.61
BBH: 14.04
IFEval: 17.29 vs 88 (so35)-80.4%
MATH Lvl 5: 8.91
LLME Score: 0.26087
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)
Qwenftmodel Parameters and Internals
| LLM Name | Qwenftmodel |
| Repository 🤗 | https://huggingface.co/sumink/Qwenftmodel |
| Model Size | 1.5b |
| Required VRAM | 6.2 GB |
| Updated | 2025-02-22 |
| Maintainer | sumink |
| Model Type | qwen2 |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.45.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwenftmodel
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Replete Coder Qwen2 1.5B | 128K / 3.1 GB | 233 | 23 |
| Qwen2.5 Coder 1.5B Instruct | 32K / 3.1 GB | 27387 | 63 |
| ...n2.5 Coder Draft 1.5B Instruct | 32K / 3.1 GB | 32 | 0 |
| Qwen2.5 Coder 1.5B | 32K / 3.1 GB | 10256 | 46 |
| Qwen2.5 Coder 1.5B Instruct | 32K / 3.1 GB | 6549 | 5 |
| SuperQwen 2.5 1.5B | 32K / 3.5 GB | 50 | 2 |
| Securin LLM V2.5 Qwen 1.5B | 32K / 3.1 GB | 172 | 0 |
| Hammer2.1 1.5B | 32K / 3.1 GB | 233 | 6 |
| Autotrain Lcsbp Cl4gy | 32K / 5.7 GB | 70 | 0 |
| Autotrain 6lxuh Noau7 | 32K / 6.2 GB | 71 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than sumink/Qwenftmodel .
Rank the Qwenftmodel Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227