Improve language tag

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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README.md +101 -87

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@@ -1,88 +1,102 @@
----
-base_model:
-- Qwen/Qwen2.5-32B
-- Qwen/QwQ-32B
-- trashpanda-org/QwQ-32B-Snowdrop-v0
-library_name: transformers
-tags:
-- mergekit
-- merge
----
-<h1 align="center">
-  <span style="color: #ADD8E6; font-weight: bold;">SnowDr</span><span style="color: #00FF00; font-weight: bold; font-style: italic;">ogito</span><span style="color: #FFFFFF; font-weight: bold;">-</span><span style="color: #FF9999; font-weight: bold;">RpR</span>-32B
-</h1>
-<p align="center">
-  <img src="https://cdn-uploads.huggingface.co/production/uploads/633e3b4136e87ddc64ad584d/XriPrqbrwSAju1XrNoxLK.png" alt="SnowDrogito-RpR-32B Banner" width="600"/>
-</p>
-<p align="center">
-  <a href="https://huggingface.co/skatardude10/SnowDrogito-RpR-32B_IQ4-XS" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">Download IQ4_XS IMATRIX GGUF</a>
-</p>
-## <span style="color: #CCFFCC;">Overview</span>
-SnowDrogito-RpR-32B is a QwQ RP Reasoning merge to add smarts to the popular <span style="color: #ADD8E6;">Snowdrop</span> roleplay model, with a little <span style="color: #FF9999;">ArliAI RpR</span> and <span style="color: #00FF00;">Deepcogito</span> for the smarts. Built using the TIES merge method, it attempts to combine strengths from multiple fine-tuned QwQ-32B models. Uploading because the PPL was lower, have been getting more varied/longer/more creative responses with this, but maybe it lacks contextual awareness compared to snowdrop? Not sure.
-## <span style="color: #CCFFCC;">Setup for Reasoning and ChatML</span>
-- **ChatML Formatting**: Use ChatML with `<|im_start|>role\ncontent<|im_end|>\n` (e.g., `<|im_start|>user\nHello!<|im_end|>\n`).
-- **Reasoning Settings**: Set "include names" to "never." Start reply with `<think>\n` to enable reasoning.
-- **Sampler Settings**: From Snowdrop: Try temperature 0.9, min_p 0.05, top_a 0.3, TFS 0.75, repetition_penalty 1.03, DRY if available.
-- **My Settings**: Response (tokens): 2048
-Context (tokens): 40960
-Temperature: 3.25
-Top P: 0.98
-Min P: 0.04
-Top nsigna: 2.5
-Repetition Penalty: 1.03
-(XTC) Threshold: 0.3
-(XTC) Probability: 0.3
-Dry Multiplier: 0.8
-Dry Base: 1.75
-Dry Allowed Length: 4
-Dry Penalty Range: 1024
-For more details, see the setup guides and master import for ST for <a href="https://huggingface.co/trashpanda-org/QwQ-32B-Snowdrop-v0" style="color: #ADD8E6; text-decoration: none;" onmouseover="this.style.color='#E6E6FA'" onmouseout="this.style.color='#ADD8E6'">Snowdrop</a> and other info on <a href="https://huggingface.co/ArliAI/QwQ-32B-ArliAI-RpR-v1" style="color: #FF9999; text-decoration: none;" onmouseover="this.style.color='#E6E6FA'" onmouseout="this.style.color='#FF9999'">ArliAI RpR</a>.
-## <span style="color: #CCFFCC;">Performance</span>
-- Perplexity under identical conditions (IQ4_XS, 40,960 context, Q8_0 KV cache, on a 150K-token chat dataset) SnowDrogito-RpR-32B vs <span style="color: #ADD8E6;">QwQ-32B-Snowdrop-v0</span>:
-```
-  4.5597 ± 0.02554
-  4.6779 ± 0.02671
-```
-- IQ4_xs fits 40960 context 24GB VRAM using Q8 KV Cache with full GPU offload.
-## <span style="color: #CCFFCC;">Model Details</span>
-- Base Model: <a href="https://huggingface.co/Qwen/Qwen2.5-32B" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">Qwen/Qwen2.5-32B</a>
-- Architecture: Qwen 2.5 (32B parameters)
-- Context Length: 40,960 tokens
-## <span style="color: #CCFFCC;">Merge Configuration</span>
-This model was created using mergekit with the following TIES merge configuration:
-```
-models:
-  - model: trashpanda-org/QwQ-32B-Snowdrop-v0
-    parameters:
-      weight: 0.75
-      density: 0.5
-  - model: deepcogito/cogito-v1-preview-qwen-32B
-    parameters:
-      weight: 0.15
-      density: 0.5
-  - model: ArliAI/QwQ-32B-ArliAI-RpR-v1
-    parameters:
-      weight: 0.1
-      density: 0.5
-merge_method: ties
-base_model: Qwen/Qwen2.5-32B
-parameters:
-  weight: 0.9
-  density: 0.9
-  normalize: true
-  int8_mask: true
-tokenizer_source: Qwen/Qwen2.5-32B-Instruct
-dtype: bfloat16
-```
-## <span style="color: #CCFFCC;">Acknowledgments</span>
-- <a href="https://github.com/arcee-ai/mergekit" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">mergekit</a> for merging.
-- <a href="https://github.com/ggerganov/llama.cpp" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">llama.cpp</a> for quantization.
 - Original model creators: <a href="https://huggingface.co/Qwen" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">Qwen</a>, <a href="https://huggingface.co/trashpanda-org" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">trashpanda-org</a>, <a href="https://huggingface.co/deepcogito" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">deepcogito</a>, <a href="https://huggingface.co/ArliAI" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">ArliAI</a>.

+---
+base_model:
+- Qwen/Qwen2.5-32B
+- Qwen/QwQ-32B
+- trashpanda-org/QwQ-32B-Snowdrop-v0
+library_name: transformers
+tags:
+- mergekit
+- merge
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+<h1 align="center">
+  <span style="color: #ADD8E6; font-weight: bold;">SnowDr</span><span style="color: #00FF00; font-weight: bold; font-style: italic;">ogito</span><span style="color: #FFFFFF; font-weight: bold;">-</span><span style="color: #FF9999; font-weight: bold;">RpR</span>-32B
+</h1>
+<p align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/633e3b4136e87ddc64ad584d/XriPrqbrwSAju1XrNoxLK.png" alt="SnowDrogito-RpR-32B Banner" width="600"/>
+</p>
+<p align="center">
+  <a href="https://huggingface.co/skatardude10/SnowDrogito-RpR-32B_IQ4-XS" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">Download IQ4_XS IMATRIX GGUF</a>
+</p>
+## <span style="color: #CCFFCC;">Overview</span>
+SnowDrogito-RpR-32B is a QwQ RP Reasoning merge to add smarts to the popular <span style="color: #ADD8E6;">Snowdrop</span> roleplay model, with a little <span style="color: #FF9999;">ArliAI RpR</span> and <span style="color: #00FF00;">Deepcogito</span> for the smarts. Built using the TIES merge method, it attempts to combine strengths from multiple fine-tuned QwQ-32B models. Uploading because the PPL was lower, have been getting more varied/longer/more creative responses with this, but maybe it lacks contextual awareness compared to snowdrop? Not sure.
+## <span style="color: #CCFFCC;">Setup for Reasoning and ChatML</span>
+- **ChatML Formatting**: Use ChatML with `<|im_start|>role\ncontent<|im_end|>\n` (e.g., `<|im_start|>user\nHello!<|im_end|>\n`).
+- **Reasoning Settings**: Set "include names" to "never." Start reply with `<think>\n` to enable reasoning.
+- **Sampler Settings**: From Snowdrop: Try temperature 0.9, min_p 0.05, top_a 0.3, TFS 0.75, repetition_penalty 1.03, DRY if available.
+- **My Settings**: Response (tokens): 2048
+Context (tokens): 40960
+Temperature: 3.25
+Top P: 0.98
+Min P: 0.04
+Top nsigna: 2.5
+Repetition Penalty: 1.03
+(XTC) Threshold: 0.3
+(XTC) Probability: 0.3
+Dry Multiplier: 0.8
+Dry Base: 1.75
+Dry Allowed Length: 4
+Dry Penalty Range: 1024
+For more details, see the setup guides and master import for ST for <a href="https://huggingface.co/trashpanda-org/QwQ-32B-Snowdrop-v0" style="color: #ADD8E6; text-decoration: none;" onmouseover="this.style.color='#E6E6FA'" onmouseout="this.style.color='#ADD8E6'">Snowdrop</a> and other info on <a href="https://huggingface.co/ArliAI/QwQ-32B-ArliAI-RpR-v1" style="color: #FF9999; text-decoration: none;" onmouseover="this.style.color='#E6E6FA'" onmouseout="this.style.color='#FF9999'">ArliAI RpR</a>.
+## <span style="color: #CCFFCC;">Performance</span>
+- Perplexity under identical conditions (IQ4_XS, 40,960 context, Q8_0 KV cache, on a 150K-token chat dataset) SnowDrogito-RpR-32B vs <span style="color: #ADD8E6;">QwQ-32B-Snowdrop-v0</span>:
+```
+  4.5597 ± 0.02554
+  4.6779 ± 0.02671
+```
+- IQ4_xs fits 40960 context 24GB VRAM using Q8 KV Cache with full GPU offload.
+## <span style="color: #CCFFCC;">Model Details</span>
+- Base Model: <a href="https://huggingface.co/Qwen/Qwen2.5-32B" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">Qwen/Qwen2.5-32B</a>
+- Architecture: Qwen 2.5 (32B parameters)
+- Context Length: 40,960 tokens
+## <span style="color: #CCFFCC;">Merge Configuration</span>
+This model was created using mergekit with the following TIES merge configuration:
+```
+models:
+  - model: trashpanda-org/QwQ-32B-Snowdrop-v0
+    parameters:
+      weight: 0.75
+      density: 0.5
+  - model: deepcogito/cogito-v1-preview-qwen-32B
+    parameters:
+      weight: 0.15
+      density: 0.5
+  - model: ArliAI/QwQ-32B-ArliAI-RpR-v1
+    parameters:
+      weight: 0.1
+      density: 0.5
+merge_method: ties
+base_model: Qwen/Qwen2.5-32B
+parameters:
+  weight: 0.9
+  density: 0.9
+  normalize: true
+  int8_mask: true
+tokenizer_source: Qwen/Qwen2.5-32B-Instruct
+dtype: bfloat16
+```
+## <span style="color: #CCFFCC;">Acknowledgments</span>
+- <a href="https://github.com/arcee-ai/mergekit" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">mergekit</a> for merging.
+- <a href="https://github.com/ggerganov/llama.cpp" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">llama.cpp</a> for quantization.
 - Original model creators: <a href="https://huggingface.co/Qwen" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">Qwen</a>, <a href="https://huggingface.co/trashpanda-org" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">trashpanda-org</a>, <a href="https://huggingface.co/deepcogito" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">deepcogito</a>, <a href="https://huggingface.co/ArliAI" style="color: #E6E6FA; text-decoration: none;" onmouseover="this.style.color='#ADD8E6'" onmouseout="this.style.color='#E6E6FA'">ArliAI</a>.