Chuxin 1.6B Base 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)
Chuxin 1.6B Base Parameters and Internals
| LLM Name | Chuxin 1.6B Base |
| Repository 🤗 | https://huggingface.co/chuxin-llm/Chuxin-1.6B-Base |
| Model Size | 1.6b |
| Required VRAM | 3.3 GB |
| Updated | 2024-09-07 |
| Maintainer | chuxin-llm |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.33.0 |
| Tokenizer Class | LlamaTokenizerFast |
| Beginning of Sentence Token | <｜begin▁of▁sentence｜> |
| End of Sentence Token | <｜end▁of▁sentence｜> |
| Vocabulary Size | 102400 |
| Torch Data Type | bfloat16 |
Best Alternatives to Chuxin 1.6B Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Fox 1 1.6B | 8K / 3.3 GB | 249 | 29 |
| Fox 1 1.6B Instruct V0.1 | 8K / 3.3 GB | 540 | 8 |
| Subnet6 001 | 8K / 16.1 GB | 5 | 0 |
| Model 6 | 4K / 3.3 GB | 28 | 0 |
| 6 2 | 4K / 3.3 GB | 6 | 0 |
| SN6 | 4K / 3.3 GB | 6 | 0 |
| Mymodel | 4K / 3.3 GB | 6 | 0 |
| 6 1 | 4K / 3.3 GB | 7 | 0 |
| Chuxin 1.6B 1M | 4K / 3.3 GB | 3 | 9 |
| TinyWand Kiqu | 4K / 3.3 GB | 7 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than chuxin-llm/Chuxin-1.6B-Base .
Rank the Chuxin 1.6B Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803