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Improve language tag

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Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

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  1. README.md +46 -32
README.md CHANGED
@@ -1,33 +1,47 @@
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- ---
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- library_name: transformers
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- base_model:
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- - Qwen/Qwen2.5-32B-Instruct
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- license: apache-2.0
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- ---
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- # Rombos-LLM-V2.5-Qwen-32b
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-
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- ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/hXnQV6WtMKrmIQPdjECSX.jpeg)
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-
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- Rombos-LLM-V2.5-Qwen-32b is a continues finetuned version of Qwen2.5-32B. I noticed recently that the Qwen team did not learn from my methods of continuous finetuning, the great benefits, and no downsides of it. So I took it upon myself to merge the instruct model with the base model myself using the *Ties* merge method
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-
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- This version of the model shows higher performance than the original instruct and base models.
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-
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- Quants: (Coming soon)
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-
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- GGUF: https://huggingface.co/bartowski/Replete-LLM-V2.5-Qwen-32b-GGUF
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-
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- EXL2:
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-
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- (8-bit)
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-
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- - https://huggingface.co/Apel-sin/rombos-llm-v2.5-qwen-32b-exl2
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-
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- (5-bit)
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-
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- - https://huggingface.co/async0x42/Rombos-LLM-V2.5-Qwen-32b-exl2_5.0bpw
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-
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- (4.25-bit)
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-
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- - https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-32b-Exl2-4.25-bit
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: transformers
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+ base_model:
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+ - Qwen/Qwen2.5-32B-Instruct
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+ license: apache-2.0
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+ language:
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+ - zho
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+ - eng
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+ - fra
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+ - spa
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+ - por
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+ - deu
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+ - ita
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+ - rus
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+ - jpn
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+ - kor
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+ - vie
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+ - tha
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+ - ara
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+ ---
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+ # Rombos-LLM-V2.5-Qwen-32b
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+
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+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/hXnQV6WtMKrmIQPdjECSX.jpeg)
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+
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+ Rombos-LLM-V2.5-Qwen-32b is a continues finetuned version of Qwen2.5-32B. I noticed recently that the Qwen team did not learn from my methods of continuous finetuning, the great benefits, and no downsides of it. So I took it upon myself to merge the instruct model with the base model myself using the *Ties* merge method
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+
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+ This version of the model shows higher performance than the original instruct and base models.
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+
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+ Quants: (Coming soon)
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+
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+ GGUF: https://huggingface.co/bartowski/Replete-LLM-V2.5-Qwen-32b-GGUF
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+
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+ EXL2:
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+
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+ (8-bit)
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+
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+ - https://huggingface.co/Apel-sin/rombos-llm-v2.5-qwen-32b-exl2
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+
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+ (5-bit)
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+
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+ - https://huggingface.co/async0x42/Rombos-LLM-V2.5-Qwen-32b-exl2_5.0bpw
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+
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+ (4.25-bit)
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+
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+ - https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-32b-Exl2-4.25-bit
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+
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