Model Type |
| |||||||||||||||
Use Cases |
| |||||||||||||||
Supported Languages |
| |||||||||||||||
Training Details |
|
LLM Name | Danube Ko 1.8B Base |
Repository ๐ค | https://huggingface.co/jjhsnail0822/danube-ko-1.8b-base |
Base Model(s) | |
Model Size | 1.8b |
Required VRAM | 3.7 GB |
Updated | 2025-02-22 |
Maintainer | jjhsnail0822 |
Model Type | mistral |
Model Files | |
Supported Languages | ko en |
Model Architecture | MistralForCausalLM |
License | apache-2.0 |
Context Length | 2048 |
Model Max Length | 2048 |
Transformers Version | 4.41.2 |
Tokenizer Class | LlamaTokenizer |
Padding Token | </s> |
Vocabulary Size | 40000 |
Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
H2o Danube 1.8B Base | 16K / 3.7 GB | 396 | 43 |
H2o Danube 1.8B Chat | 16K / 3.7 GB | 497 | 54 |
Cypher Mini 1.8B | 16K / 3.7 GB | 167 | 2 |
H2o Danube 1.8B Sft | 16K / 3.7 GB | 173 | 11 |
Cypher CoT 1.8B | 16K / 3.7 GB | 152 | 1 |
PixieZehirNano | 16K / 3.7 GB | 10 | 0 |
...1.8B Chat Sft Merge Fourier V1 | 16K / 7.3 GB | 90 | 1 |
H2o Danube2 1.8B Chat | 8K / 3.7 GB | 2856 | 61 |
H2o Danube2 1.8B Base | 8K / 3.7 GB | 242 | 46 |
H2o Danube2 1.8B Sft | 8K / 3.7 GB | 263 | 6 |
๐ 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! ๐