Arxiv:2309.00071 4-bit Autotrain compatible Chat Conversational En Endpoints compatible Exl2 Instruct Quantized Qwen2 Region:us Safetensors Sharded Tensorflow
Qwen2 72B Instruct 4 0bpw H6 EXL2 Pippa 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 72B Instruct 4 0bpw H6 EXL2 Pippa Parameters and Internals
| LLM Name | Qwen2 72B Instruct 4 0bpw H6 EXL2 Pippa |
| Repository 🤗 | https://huggingface.co/denru/Qwen2-72B-Instruct-4_0bpw-h6-exl2-pippa |
| Model Size | 72b |
| Required VRAM | 38.6 GB |
| Updated | 2024-10-18 |
| Maintainer | denru |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | exl2 |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2 72B Instruct 4 0bpw H6 EXL2 Pippa
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ECE ILAB Q1 | 32K / 77.8 GB | 2147 | 0 |
| Qwen2.5 72B Instruct 4bit | 32K / 40.9 GB | 175 | 3 |
| Qwen2.5 72B Instruct 8bit | 32K / 77.1 GB | 50 | 2 |
| Qwen2 72B Instruct Bnb 4bit | 32K / 41.2 GB | 34 | 6 |
| ...struct Mix Calibration 4B EXL2 | 32K / 38.8 GB | 5 | 2 |
| Qwen2 72B Instruct 4bit | 32K / 40.9 GB | 17 | 2 |
| Qwen2 72B Instruct Bpw5.5 EXL2 | 32K / 51.8 GB | 0 | 1 |
| ...n2 72B Instruct 3.5bpw H6 EXL2 | 32K / 34.3 GB | 10 | 2 |
| Qwen2 72B Instruct Bpw4 EXL2 | 32K / 38.7 GB | 6 | 0 |
| Qwen2 72B Instruct 8bit | 32K / 77.1 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than denru/Qwen2-72B-Instruct-4_0bpw-h6-exl2-pippa .
Rank the Qwen2 72B Instruct 4 0bpw H6 EXL2 Pippa Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803