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README.md

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+---
+language:
+- fi
+library_name: peft
+base_model: LumiOpen/Viking-7B
+license: apache-2.0
+datasets:
+- mpasila/Alpacazord-V1
+---
+
+# Model Card for Alpacazord-Viking-LoRA-7B
+
+LoRA trained with text-generation-webui in 4-bit using [LumiOpen/Viking-7B](https://huggingface.co/LumiOpen/Viking-7B/) as the base model for 1 epoch. Dataset used with the LoRA is [mpasila/Alpacazord-V1](https://huggingface.co/datasets/mpasila/Alpacazord-V1/).
+
+It uses Alpaca format like so:
+```
+{
+    "instruction,output": "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n%instruction%\n\n### Response:\n%output%",
+    "instruction,input,output": "Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Instruction:\n%instruction%\n\n### Input:\n%input%\n\n### Response:\n%output%"
+}
+
+```
+
+Using the following settings:
+```json
+{
+  "lora_name": "Alpacazord-V4",
+  "always_override": false,
+  "q_proj_en": true,
+  "v_proj_en": true,
+  "k_proj_en": false,
+  "o_proj_en": false,
+  "gate_proj_en": false,
+  "down_proj_en": false,
+  "up_proj_en": false,
+  "save_steps": 500,
+  "micro_batch_size": 4,
+  "batch_size": 128,
+  "epochs": 1,
+  "learning_rate": "3e-4",
+  "lr_scheduler_type": "linear",
+  "lora_rank": 128,
+  "lora_alpha": 256,
+  "lora_dropout": 0.05,
+  "cutoff_len": 512,
+  "dataset": "Alpacazord-V1",
+  "eval_dataset": "None",
+  "format": "alpaca-format",
+  "eval_steps": 100,
+  "raw_text_file": "None",
+  "overlap_len": 128,
+  "newline_favor_len": 128,
+  "higher_rank_limit": false,
+  "warmup_steps": 100,
+  "optimizer": "adamw_torch",
+  "hard_cut_string": "\\n\\n\\n",
+  "train_only_after": "",
+  "stop_at_loss": 0,
+  "add_eos_token": false,
+  "min_chars": 0,
+  "report_to": "None"
+}
+```
+
+### Framework versions
+
+- PEFT 0.8.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "models/LumiOpen_Viking-7B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 256,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:58e43a2322bb137239b233c00c47691bf81530639642ed2aad0cd3bdc311a837
+size 268453016

training_log.json

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+{
+  "base_model_name": "LumiOpen_Viking-7B",
+  "base_model_class": "LlamaForCausalLM",
+  "base_loaded_in_4bit": true,
+  "base_loaded_in_8bit": false,
+  "projections": "q, v",
+  "loss": 1.1857,
+  "grad_norm": 0.2142583131790161,
+  "learning_rate": 0.0,
+  "epoch": 1.0,
+  "current_steps": 45759,
+  "train_runtime": 100770.7651,
+  "train_samples_per_second": 1.817,
+  "train_steps_per_second": 0.014,
+  "total_flos": 3.981217427840041e+18,
+  "train_loss": 1.2570427094306145
+}

training_parameters.json

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+{
+  "lora_name": "Alpacazord-V4",
+  "always_override": false,
+  "q_proj_en": true,
+  "v_proj_en": true,
+  "k_proj_en": false,
+  "o_proj_en": false,
+  "gate_proj_en": false,
+  "down_proj_en": false,
+  "up_proj_en": false,
+  "save_steps": 500,
+  "micro_batch_size": 4,
+  "batch_size": 128,
+  "epochs": 1,
+  "learning_rate": "3e-4",
+  "lr_scheduler_type": "linear",
+  "lora_rank": 128,
+  "lora_alpha": 256,
+  "lora_dropout": 0.05,
+  "cutoff_len": 512,
+  "dataset": "Alpacazord-V1",
+  "eval_dataset": "None",
+  "format": "alpaca-format",
+  "eval_steps": 100,
+  "raw_text_file": "None",
+  "overlap_len": 128,
+  "newline_favor_len": 128,
+  "higher_rank_limit": false,
+  "warmup_steps": 100,
+  "optimizer": "adamw_torch",
+  "hard_cut_string": "\\n\\n\\n",
+  "train_only_after": "",
+  "stop_at_loss": 0,
+  "add_eos_token": false,
+  "min_chars": 0,
+  "report_to": "None"
+}

training_prompt.json

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+{
+  "template_type": "dataset",
+  "template_1": "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n%instruction%\n\n### Response:\n%output%",
+  "template_2": "Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Instruction:\n%instruction%\n\n### Input:\n%input%\n\n### Response:\n%output%"
+}