Llava 1.6 Gptq 8bit is an open-source language model by panoyo9829. Features: 7b LLM, VRAM: 9.6GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.11.
| LLM Name | Llava 1.6 Gptq 8bit |
| Repository 🤗 | https://huggingface.co/panoyo9829/llava-1.6-gptq-8bit |
| Model Size | 7b |
| Required VRAM | 9.6 GB |
| Updated | 2026-07-05 |
| Maintainer | panoyo9829 |
| Model Type | llava |
| Instruction-Based | Yes |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|8bit |
| Model Architecture | LlavaLlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
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| Llava V1.6 Mistral 7B PATCHED | 32K / 15.1 GB | 17 | 8 |
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| Co Instruct Llava V1.5 7B | 4K / 14.1 GB | 6 | 1 |
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