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LLaMAX
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LLaMAX2-7B-X-CSQA

Text Generation
Transformers
PyTorch
llama
Multilingual
text-generation-inference
Inference Endpoints
Model card Files Community
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  ### Model Sources
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- Paper: LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
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- Link: https://arxiv.org/pdf/2407
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  ### Model Description
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  ### Model Usage
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  Code Example:
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  ```angular2html
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  from transformers import AutoTokenizer, LlamaForCausalLM
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  ### Experiments
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- | X-CSQA |Sw | Ur | Hi | Ar | Vi | Ja | Pl | Zh | Nl | Ru | It | De | Pt | Fr | Es | En | Avg.|
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- |-----------------------|-------|------|------|-------|------|----|-------|------|-------|----|------|------|-------|------|-------|--------|--------|
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- | Llama2-7B-X-CSQA | 23.2 |24.7 | 32.9 | 32.4 | 51.0 | 50.0 | 51.5 | 55.6 | 56.9 | 55.8 | 58.8 | 59.9 | 60.4 | 61.8 | 61.9 | 78.1 | 50.9 |
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- | LLaMAX-7B-X-CSQA | 43.5 | 39.0 | 44.1 | 45.1 | 54.0 | 49.9 | 54.6 | 58.2 | 58.9 | 57.1 | 59.1 | 59.0 | 60.9 | 61.6 | 62.7 | 74.0 | 55.1 |
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  ### Citation
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  if our model helps your work, please cite this paper:
 
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  ### Model Sources
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+ - **Paper**: LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
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+ - **Link**:
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+ - **Repository**: https://github.com/CONE-MT/LLaMAX/
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  ### Model Description
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  ### Model Usage
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  Code Example:
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  ```angular2html
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  from transformers import AutoTokenizer, LlamaForCausalLM
 
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  ### Experiments
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+ | X-CSQA | Avg. | Sw | Ur | Hi | Ar | Vi | Ja | Pl | Zh | Nl | Ru | It | De | Pt | Fr | Es | En |
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+ |--------------------|------|------|------|------|------|----|-------|------|-------|----|------|------|-------|------|-------|--------|--------|
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+ | Llama2-7B-X-CSQA | 50.9 | 23.2 | 24.7 | 32.9 | 32.4 | 51.0 | 50.0 | 51.5 | 55.6 | 56.9 | 55.8 | 58.8 | 59.9 | 60.4 | 61.8 | 61.9 | 78.1 |
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+ | LLaMAX-7B-X-CSQA | 55.1 | 43.5 | 39.0 | 44.1 | 45.1 | 54.0 | 49.9 | 54.6 | 58.2 | 58.9 | 57.1 | 59.1 | 59.0 | 60.9 | 61.6 | 62.7 | 74.0 |
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  ### Citation
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  if our model helps your work, please cite this paper: