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chat_template.jinja

@@ -0,0 +1,12 @@
+{%- set ns = namespace(last_user_msg="", system="engelsk") -%}
+{%- for message in messages -%}
+  {%- if message.role == "user" -%}
+    {%- set ns.last_user_msg = message.content -%}
+  {%- elif message.role == "system" -%}
+    {%- set ns.system = message.content -%}
+  {%- endif -%}
+{%- endfor -%}
+<s><source>{% if ns.last_user_msg[:1] == " " %}{{ ns.last_user_msg }}{% else %} {{ ns.last_user_msg }}{% endif %}</source>
+
+## {{ ns.system }}:
+<target>

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "mask_token_id": 4,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "pad_token_id": 3,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.3",
+  "use_cache": true,
+  "vocab_size": 51200
+}

convert_to_safetensors.py

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+import argparse
+import random
+from statistics import mean, stdev
+from typing import List
+import torch
+import torchmetrics
+from datasets import load_dataset
+from tqdm import tqdm
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+
+def parse_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--model_name_or_path",
+        type=str,
+        default=".",
+        help="Path to the pre-trained model",
+    )
+    args = parser.parse_args()
+
+    return args
+
+
+def load_model(model_path: str):
+    # Load the pre-trained model and tokenizer
+    tokenizer = AutoTokenizer.from_pretrained(model_path, torch_dtype=torch.bfloat16)
+    model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.bfloat16).cuda().eval()
+
+    eos_token_ids = [
+        token_id
+        for token_id in range(tokenizer.vocab_size)
+        if "\n" in tokenizer.decode([token_id])
+    ]
+
+    if hasattr(model.config, "n_positions"):
+        max_length = model.config.n_positions
+    elif hasattr(model.config, "max_position_embeddings"):
+        max_length = model.config.max_position_embeddings
+    elif hasattr(model.config, "max_length"):
+        max_length = model.config.max_length
+    elif hasattr(model.config, "n_ctx"):
+        max_length = model.config.n_ctx
+    else:
+        max_length = 32768  # Default value
+
+    return {
+        "name": model_path.split("/")[-1],
+        "tokenizer": tokenizer,
+        "model": model,
+        "eos_token_ids": eos_token_ids,
+        "max_length": max_length,
+    }
+
+
+def main():
+    args = parse_args()
+
+    model = load_model(args.model_name_or_path)
+    
+    model["model"].save_pretrained(
+        args.model_name_or_path,
+        max_shard_size="5GB"
+    )
+
+
+if __name__ == "__main__":
+    main()

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 3,
+  "transformers_version": "4.57.3"
+}

model-00001-of-00005.safetensors

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+size 4991394528

model-00002-of-00005.safetensors

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+size 3145845632

model.safetensors.index.json

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+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        },
+        "6": {
+            "content": "</instruction>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        },
+        "7": {
+            "content": "<system_prompt>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        },
+        "8": {
+            "content": "</system_prompt>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        },
+        "9": {
+            "content": "<special_4>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        },
+        "10": {
+            "content": "<special_5>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        },
+        "11": {
+            "content": "<special_6>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        },
+        "12": {
+            "content": "<special_7>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        },
+        "13": {
+            "content": "<special_8>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        },
+        "14": {
+            "content": "<special_9>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        },
+        "15": {
+            "content": "<special_10>",
+            "lstrip": false,
+            "normalized": false,
+            "rstrip": false,
+            "single_word": false,
+            "special": true
+        }
+    },
+    "bos_token": "<s>",
+    "pad_token": "<pad>",
+    "clean_up_tokenization_spaces": false,
+    "eos_token": "</s>",
+    "model_max_length": 32768,
+    "chat_template": "{{- bos_token }}\n\n{%- for message in messages %}\n    {%- if message['role'] == 'user' %}\n        {{- '<instruction>' + message['content'] + '</instruction>' }}\n    {%- elif message['role'] == 'system' %}\n        {{- '<system_prompt>' + message['content'] + '</system_prompt>' }}\n    {%- elif message['role'] == 'assistant' %}\n        {%- generation %}\n        {{- message['content'] + '</s>' }}\n        {%- endgeneration %}\n    {%- else %}\n        {{- raise_exception('Only user, system and assistant roles are supported!') }}\n    {%- endif %}\n{%- endfor %}",
+    "tokenizer_class": "PreTrainedTokenizerFast",
+    "unk_token": "<unk>"
+}