Arxiv:1910.09700 4-bit 4bit Autotrain compatible Conversational Endpoints compatible Gemma Gptq Instruct Quantized Region:us Safetensors Sharded Tensorflow
Rank the Gemma 7B Instruct GPTQ 4bit Capabilities
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| ...ruct Malayalam Model Vllm 4bit | — | 16K / 5.6 GB | 28 | 0 |
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Gemma 7B Instruct GPTQ 4bit Parameters and Internals
| LLM Name | Gemma 7B Instruct GPTQ 4bit |
| Repository | Open on 🤗 |
| Model Size | 7b |
| Required VRAM | 5.6 GB |
| Updated | 2024-07-05 |
| Maintainer | stan-hua |
| Model Type | gemma |
| Instruction-Based | Yes |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Initializer Range | 0.02 |
| Torch Data Type | float16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801