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Model: mpasila/Viking-Magnum-v0.1-7B
Source: Original Platform

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README.md

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+---
+base_model: LumiOpen/Viking-7B
+language:
+- en
+- fi
+- sv
+- 'no'
+- da
+- is
+- nn
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+- sft
+datasets:
+- mpasila/Magnum-V2-Mix
+- anthracite-org/Stheno-Data-Filtered
+- anthracite-org/kalo-opus-instruct-22k-no-refusal
+- anthracite-org/nopm_claude_writing_fixed
+---
+It seems fine but I should probably add some instruction prompts to the dataset or train it with a instruct dataset first and then train it with the RP stuff to make it better.
+
+Prompt format is: ChatML
+
+LoRA: [mpasila/Viking-Magnum-v0.1-LoRA-7B](https://huggingface.co/mpasila/Viking-Magnum-v0.1-LoRA-7B)
+
+Another thing to note is this was trained with regular LoRA (not quantized/QLoRA) so it should improve the quality a bit. This model's context length is only 4096 so it's trained on that too but I think you can use RoPE with it.
+
+LoRA rank was 128 and Alpha set to the same. Trained for 1 epoch.
+
+# Uploaded  model
+
+- **Developed by:** mpasila
+- **License:** apache-2.0
+- **Finetuned from model :** LumiOpen/Viking-7B
+
+This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

config.json

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+{
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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "attention_dropout": 0.0,
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+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 3,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "unsloth_version": "2024.8",
+  "untie_embeddings_and_output_weights": true,
+  "use_cache": true,
+  "vocab_size": 131072
+}

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+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 3,
+  "transformers_version": "4.44.2"
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+}

special_tokens_map.json

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+{
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+  "eos_token": "<|im_end|>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+      "content": "<|im_start|>",
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+    "23": {
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n    {%- if message['role'] == 'system' -%}\n        {%- set ns.found = true -%}\n    {%- endif -%}\n{%- endfor -%}\n{%- for message in messages %}\n    {%- if message['role'] == 'system' -%}\n        {{- '<|im_start|>system\n' + message['content'].rstrip() + '<|im_end|>\n' -}}\n    {%- else -%}\n        {%- if message['role'] == 'user' -%}\n            {{-'<|im_start|>user\n' + message['content'].rstrip() + '<|im_end|>\n'-}}\n        {%- else -%}\n            {{-'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' -}}\n        {%- endif -%}\n    {%- endif -%}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n    {{-'<|im_start|>assistant\n'-}}\n{%- endif -%}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "tokenizer_class": "BloomTokenizer",
+  "unk_token": "<unk>"
+}