4-bit Base model:axcxept/ezo-qwen2.5... Base model:quantized:axcxept/e... Bitsandbytes Chat Conversational Custom code En Instruct Ja Q4 Quantized Qwen2 Region:us Safetensors Sharded Tensorflow
EZO AutoCoTRAG Qwen2.5 72B Instruct Q4 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)
EZO AutoCoTRAG Qwen2.5 72B Instruct Q4 Parameters and Internals
| LLM Name | EZO AutoCoTRAG Qwen2.5 72B Instruct Q4 |
| Repository 🤗 | https://huggingface.co/AXCXEPT/EZO-AutoCoTRAG-Qwen2.5-72B-Instruct_q4 |
| Base Model(s) | |
| Model Size | 72b |
| Required VRAM | 44.3 GB |
| Updated | 2024-10-04 |
| Maintainer | AXCXEPT |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ja en |
| Quantization Type | q4 |
| Model Architecture | CustomQwen2Model |
| License | apache-2.0 |
| 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 |
Rank the EZO AutoCoTRAG Qwen2.5 72B Instruct Q4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803