Model Card on HF 🤗: https://huggingface.co/qhduan/aquilachat-7b
Aquilachat 7B 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)
Aquilachat 7B Parameters and Internals
| LLM Name | Aquilachat 7B |
| Repository 🤗 | https://huggingface.co/qhduan/aquilachat-7b |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2025-06-09 |
| Maintainer | qhduan |
| Model Type | llama |
| Model Files | |
| Supported Languages | zh |
| Model Architecture | AquilaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.30.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 100008 |
| Torch Data Type | float16 |
Best Alternatives to Aquilachat 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| AquilaChat2 7B 16K | 16K / 29.2 GB | 32 | 9 |
| Aquila2 7B | 8K / 30.8 GB | 64 | 6 |
| AquilaChat2 7B | 2K / 29.2 GB | 5200 | 15 |
| Aquila 7B | 2K / 14.5 GB | 23 | 11 |
| Tiny Random Aquilachat | 0.1K / 0 GB | 131886 | 0 |
| Tiny Random Aquila2 | 0.1K / 0 GB | 132052 | 0 |
| Aquila 2 7B Chat AWQ | 2K / 5 GB | 17 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than qhduan/aquilachat-7b .
Rank the Aquilachat 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124