Autotrain compatible Conversational Cot Custom code Dataset:kaist-ai/cot-collectio... Endpoints compatible Finetuned Qwen2 Region:us Safetensors Sharded Synthetic data Tensorflow
Reyna CoT 4B V0.1 Benchmarks
ARC: 44.71 vs 96.7 (so35)-53.8%
HellaSwag: 71.12 vs 95.3 (gpt4)-25.4%
MMLU: 55.9 vs 88.3 (so35)-36.7%
TruthfulQA: 43.09 vs 59 (gpt4)-27%
WinoGrande: 67.72 vs 87.5 (gpt4)-22.6%
GSM8K: 16.91 vs 96.4 (so35)-82.5%
LLME Score: 0.23089
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)
Reyna CoT 4B V0.1 Parameters and Internals
| LLM Name | Reyna CoT 4B V0.1 |
| Repository 🤗 | https://huggingface.co/aloobun/Reyna-CoT-4B-v0.1 |
| Model Size | 4b |
| Required VRAM | 7.9 GB |
| Updated | 2024-09-07 |
| Maintainer | aloobun |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Reyna CoT 4B V0.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen1.5 4B Chat | 32K / 7.9 GB | 20731 | 36 |
| Qwen1.5 4B | 32K / 7.9 GB | 12726 | 34 |
| Sailor 4B | 32K / 7.9 GB | 67 | 6 |
| Nusantara 4B Indo Chat | 32K / 7.9 GB | 96 | 1 |
| Sailor 4B Chat | 32K / 7.9 GB | 44 | 2 |
| Qwen 4B Flock 1719855002 | 32K / 7.9 GB | 5 | 0 |
| Qwen 4B Flock 1719848483 | 32K / 7.9 GB | 5 | 0 |
| NOVA 4B | 32K / 14.3 GB | 5 | 0 |
| Qwen 4B Flock 1719561695 | 32K / 7.9 GB | 5 | 0 |
| Qwen 4B Flock 1719564964 | 32K / 7.9 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than aloobun/Reyna-CoT-4B-v0.1 .
Rank the Reyna CoT 4B V0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803