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Model: WisPerMed/Llama-3.1-SauerkrautLM-70b-Instruct-AWQ
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- de
+- en
+base_model:
+- VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct
+pipeline_tag: text-generation
+---
+
+![wisperlama](./image.png)
+
+This model is created with love by the PhD Students from DFG funded Wispermed group. 
+
+
+
+

config.json

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+{
+  "_name_or_path": "/home/baheryilmaz/.cache/huggingface/hub/models--VAGOsolutions--Llama-3.1-SauerkrautLM-70b-Instruct/snapshots/e8e74aa789243c25a3a8f7565780a402f5050bbb",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 80,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "quantization_config": {
+    "bits": 4,
+    "group_size": 128,
+    "modules_to_not_convert": null,
+    "quant_method": "awq",
+    "version": "gemm",
+    "zero_point": true
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.45.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "transformers_version": "4.45.2"
+}

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special_tokens_map.json

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+    "single_word": false
+  },
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+    "content": "<|eot_id|>",
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+    "single_word": false
+  }
+}