Autotrain compatible Conversational En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/J-LAB/Thynk
Thynk 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)
Thynk Parameters and Internals
| LLM Name | Thynk |
| Repository 🤗 | https://huggingface.co/J-LAB/Thynk |
| Base Model(s) | |
| Model Size | 3.1b |
| Required VRAM | 6.2 GB |
| Updated | 2024-10-15 |
| Maintainer | J-LAB |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Thynk
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Saba Passthrough 2 | 128K / 6.2 GB | 57 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than J-LAB/Thynk .
Rank the Thynk Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227