Autotrain compatible Conversational En Endpoints compatible Q2 Quantized Qwen2 Region:us Safetensors Sharded Tensorflow
Nano Q2 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)
Nano Q2 Parameters and Internals
| LLM Name | Nano Q2 |
| Repository 🤗 | https://huggingface.co/NLPark/Nano_Q2 |
| Model Size | 1.8b |
| Required VRAM | 3.5 GB |
| Updated | 2024-09-07 |
| Maintainer | NLPark |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Quantization Type | q2 |
| Model Architecture | Qwen2ForCausalLM |
| License | cc-by-nc-sa-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.42.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Nano Q2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen1.5 1.8B Chat 4bit | 32K / 1.5 GB | 58 | 2 |
| Qwen1.5 1.8B | 32K / 3.7 GB | 660752 | 43 |
| Qwen1.5 1.8B Chat | 32K / 3.7 GB | 25337 | 44 |
| Orca 2.0 Tau 1.8B | 32K / 3.7 GB | 260 | 8 |
| Neural Chat Mini V2.2 1.8B | 32K / 3.7 GB | 54 | 5 |
| Sailor 1.8B Chat | 32K / 3.7 GB | 722 | 4 |
| Qwen1.5 1.8B Seed Sft | 32K / 3.7 GB | 6 | 0 |
| Qwen1.5 Wukong 1.8B | 32K / 3.7 GB | 6 | 4 |
| SmartQwen1.5 1.8B Orpo V1 | 32K / 3.7 GB | 6 | 0 |
| Coder1.8 ORPO TEST | 32K / 3.7 GB | 9 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than NLPark/Nano_Q2 .
Rank the Nano Q2 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 35693 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803