Alpaca 7B Native 4bit 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)
Alpaca 7B Native 4bit Parameters and Internals
| LLM Name | Alpaca 7B Native 4bit |
| Repository 🤗 | https://huggingface.co/4bit/alpaca-7b-native-4bit |
| Model Size | 7b |
| Required VRAM | 4.5 GB |
| Updated | 2024-09-07 |
| Maintainer | 4bit |
| Model Type | llama |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | LLaMAForCausalLM |
| Model Max Length | 512 |
| Transformers Version | 4.27.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32001 |
| Torch Data Type | float32 |
Best Alternatives to Alpaca 7B Native 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 7B Onnx Merged Fp16 | 2K / GB | 11 | 7 |
| Alpaca Native 4bit | 0K / 4.5 GB | 16 | 57 |
| Llama 7B 4bit Gr128 | 0K / 4 GB | 7 | 4 |
| Llama 7B 4bit Act | 0K / 3.8 GB | 9 | 2 |
| Swallow 7B GPTQ | 4K / 4.1 GB | 17 | 1 |
| Honest Llama2 Chat 7B | 2K / 13.5 GB | 257 | 9 |
| Llama 7B Onnx Merged Fp32 | 2K / GB | 8 | 2 |
| ...xplore LM Ext 7B Brainstorming | 0K / 27 GB | 9 | 2 |
| Explore LM Ext 7B Rewriting | 0K / 27 GB | 9 | 1 |
| Explore LM 7B Math | 0K / 27 GB | 7 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than 4bit/alpaca-7b-native-4bit .
Rank the Alpaca 7B Native 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803