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Model: qilowoq/Vikhr-Nemo-12B-Instruct-R-21-09-24-4Bit-GPTQ
Source: Original Platform

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README.md

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+---
+base_model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
+base_model_relation: quantized
+license: apache-2.0
+pipeline_tag: text-generation
+quantized_by: qilowoq
+tags:
+- gptq
+language:
+- en
+- ru
+---
+
+# Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24-4Bit-GPTQ
+
+- Original Model: [Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24](https://huggingface.co/Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24)
+
+## Quantization
+
+- This model was quantized with the Auto-GPTQ library and dataset containing english and russian wikipedia articles. It has lower perplexity on russian data then other GPTQ models.

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.45.0.dev0"
+}

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|start_header_id|>",
+    "<|end_header_id|>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}