Autotrain compatible Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Aarushhh/untrained-Qwen-2.5-7b-Instruct-Pruned
Untrained Qwen 2.5 7B Instruct Pruned 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)
Untrained Qwen 2.5 7B Instruct Pruned Parameters and Internals
| LLM Name | Untrained Qwen 2.5 7B Instruct Pruned |
| Repository 🤗 | https://huggingface.co/Aarushhh/untrained-Qwen-2.5-7b-Instruct-Pruned |
| Model Size | 7b |
| Required VRAM | 8.7 GB |
| Updated | 2025-02-22 |
| Maintainer | Aarushhh |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.45.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Untrained Qwen 2.5 7B Instruct Pruned
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct 1M | 986K / 15.4 GB | 289038 | 236 |
| Qwen2.5 7B RRP 1M | 986K / 15.2 GB | 294 | 4 |
| Qwen2.5 7B CelestialHarmony 1M | 986K / 14.8 GB | 153 | 5 |
| COCO 7B Instruct 1M | 986K / 15.2 GB | 105 | 9 |
| Q2.5 Instruct 1M Harmony | 986K / 15.2 GB | 61 | 1 |
| Impish QWEN 7B 1M | 986K / 15.2 GB | 70 | 1 |
| Qwen2.5 7B DeepSeek R1 1M | 986K / 15.2 GB | 88 | 10 |
| Qwen2.5 7B Sky R1 Mini | 986K / 15.2 GB | 25 | 0 |
| Qwen2.5 7B Instruct 1M | 986K / 15.2 GB | 633 | 2 |
| MwM 7B CoT Merge1 | 986K / 15.2 GB | 43 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than Aarushhh/untrained-Qwen-2.5-7b-Instruct-Pruned .
Rank the Untrained Qwen 2.5 7B Instruct Pruned Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227