Qwen2p5 14B Distill Wip 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)
Qwen2p5 14B Distill Wip Parameters and Internals
| LLM Name | Qwen2p5 14B Distill Wip |
| Repository 🤗 | https://huggingface.co/chargoddard/qwen2p5-14b-distill-wip |
| Model Size | 14b |
| Required VRAM | 29.7 GB |
| Updated | 2024-09-26 |
| Maintainer | chargoddard |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2p5 14B Distill Wip
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Rombos LLM V2.6 Qwen 14B | 128K / 29.7 GB | 282 | 21 |
| EVA Qwen2.5 14B V0.0 | 128K / 29.7 GB | 189 | 13 |
| EVA Qwen2.5 14B V0.1 | 128K / 29.7 GB | 284 | 8 |
| Qwen2.5 14B Instruct | 32K / 29.6 GB | 85471 | 76 |
| Replete LLM V2.5 Qwen 14B | 32K / 29.7 GB | 437 | 14 |
| Qwen2.5 14B Gutenberg 1e Delta | 32K / 29.7 GB | 1449 | 4 |
| Qwen2.5 14B Instruct | 32K / 29.7 GB | 635 | 6 |
| NightyGurps 14B V1.1 | 32K / 29.7 GB | 7 | 7 |
| Qwen2p5 14B Llamatok | 32K / 29.2 GB | 22 | 0 |
| Sailor 14B Chat | 32K / 28.4 GB | 53 | 11 |
Note: green Score (e.g. "73.2") means that the model is better than chargoddard/qwen2p5-14b-distill-wip .
Rank the Qwen2p5 14B Distill Wip Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803