8-bit 8bit Autotrain compatible Conversational Endpoints compatible Gptq Instruct Llava Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/panoyo9829/llava-1.6-gptq-8bit
Llava 1.6 Gptq 8bit 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)
Llava 1.6 Gptq 8bit Parameters and Internals
| 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 | 2025-01-19 |
| 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 |
Best Alternatives to Llava 1.6 Gptq 8bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llava V1.6 Mistral 7B PATCHED | 32K / 15.1 GB | 19 | 8 |
| Table Llava V1.5 7B | 4K / 14.2 GB | 299 | 11 |
| Quilt Llava V1.5 7B | 4K / 14.2 GB | 263 | 5 |
| Co Instruct Llava V1.5 7B | 4K / 14.1 GB | 15 | 1 |
| ...ct4V LLaVA Instruct Mix880k 7B | 4K / 14.2 GB | 13 | 3 |
| ...V1.5 7b Qinstruct Preview V0.1 | 4K / 14.2 GB | 86 | 4 |
| Chinese LLaVA Baichuan | 2K / 28 GB | 22 | 8 |
| KoLLaVA KoVicuna 7B | 2K / 27 GB | 78 | 13 |
Note: green Score (e.g. "73.2") means that the model is better than panoyo9829/llava-1.6-gptq-8bit .
Rank the Llava 1.6 Gptq 8bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227