Merged Model Arxiv:1910.09700 4-bit 4bit Autotrain compatible Endpoints compatible Gptq Llama Quantized Region:us
V3 Gptq 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)
V3 Gptq Parameters and Internals
| LLM Name | V3 Gptq |
| Repository 🤗 | https://huggingface.co/NotoriousH2/v3_gptq |
| Merged Model | Yes |
| Required VRAM | 6.1 GB |
| Updated | 2024-09-18 |
| Maintainer | NotoriousH2 |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 40960 |
| Torch Data Type | float16 |
Best Alternatives to V3 Gptq
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LWM Text Chat 512K GPTQ | 512K / 4.3 GB | 4 | 2 |
| LWM Text Chat 256K GPTQ | 256K / 4.3 GB | 5 | 1 |
| LWM Text Chat 128K GPTQ | 128K / 4.3 GB | 4 | 1 |
| StoryTeller10.7B GPTQ 4Bit | 41K / 6.6 GB | 5 | 0 |
| Alpha Merged Gptq | 19K / 9.2 GB | 6 | 0 |
| ...lama 3 Lima Nsfw 16K Test GPTQ | 16K / 5.7 GB | 68 | 4 |
| Taiwan LLaMa V1.0 4bits GPTQ | 4K / 7.3 GB | 6 | 1 |
| MythoMax22b Falseblock GPT | 4K / 12 GB | 6 | 0 |
| Taiwan LLaMa V1.0 4bits GPTQ | 4K / 7.3 GB | 25 | 9 |
| Nous Hermes Llama2 8bit GPTQ | 4K / 13.7 GB | 7 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than NotoriousH2/v3_gptq .
Rank the V3 Gptq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803