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README.md

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----
-license: apache-2.0
----
+---
+base_model: mistralai/Mistral-Nemo-Base-2407
+license: apache-2.0
+datasets:
+- BeaverAI/Nemo-Inst-Tune-ds
+language:
+- en
+library_name: transformers
+---
+# Dory 12b
+redone instruct finetune of mistral nemo 12b. *not* (E)RP-focused, leave that to drummer.
+
+![image/gif](https://cdn-uploads.huggingface.co/production/uploads/634262af8d8089ebaefd410e/tP5kiebGrg8DJZbeBEc3Q.gif)
+
+thanks to twisted for the compute :3
+
+## Prompting
+alpaca-like:
+```
+### System:
+[Optional system prompt]
+
+### Instruction:
+[Query]
+
+### Response:
+[Response]<EOT>
+
+### Instruction:
+[...]
+```
+
+## Training details
+Rank 64 QDoRA, trained on the following data mix:
+- All of [kalomaze/Opus_Instruct_3k](https://huggingface.co/datasets/kalomaze/Opus_Instruct_3k)
+- All conversations with a reward model rating above 5 in [Magpie-Align/Magpie-Gemma2-Pro-Preview-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Gemma2-Pro-Preview-Filtered)
+- 50k of [Gryphe/Sonnet3.5-SlimOrcaDedupCleaned](https://huggingface.co/datasets/Gryphe/Sonnet3.5-SlimOrcaDedupCleaned)
+- All stories above 4.7 rating and published before 2020 in [Fizzarolli/FallingThroughTheSkies-592k-Filtered-Filtered](https://huggingface.co/datasets/Fizzarolli/FallingThroughTheSkies-592k-Filtered-Filtered)

axolotl_config.yaml

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+# Weights and Biases logging config
+wandb_project: nemo-instruct-tune
+wandb_entity:
+wandb_watch:
+wandb_name: v1
+wandb_log_model:
+
+# Model architecture config
+base_model: mistralai/Mistral-Nemo-Base-2407
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+chat_template: alpaca
+
+# Hugging Face saving config
+hub_model_id: Fizzarolli/nemo-instruct-tune-v1
+hub_strategy: all_checkpoints
+push_dataset_to_hub:
+hf_use_auth_token:
+
+# Model checkpointing config
+output_dir: ./lora-out
+resume_from_checkpoint:
+save_steps:
+saves_per_epoch: 10
+save_safetensors: true
+save_total_limit: 2
+
+# Mixed precision training config
+bf16: true
+fp16: false
+tf32: false
+
+# Model loading config
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+# Sequence config
+sequence_len: 16384
+s2_attention: false
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+train_on_inputs: false
+group_by_length: false
+
+# QLoRA adapter config
+adapter: qlora
+lora_model_dir:
+lora_r: 64
+lora_alpha: 64
+lora_dropout: 0.125
+lora_fan_in_fan_out:
+lora_target_linear:
+save_embedding_layers:
+peft_layers_to_transform:
+peft_use_dora: true
+peft_use_rslora:
+peft_layer_replication:
+lora_target_modules:
+    - gate_proj
+    - down_proj
+    - up_proj
+    - q_proj
+    - v_proj
+    - k_proj
+    - o_proj
+lora_modules_to_save:
+
+# Unfrozen parameters for FFT
+unfrozen_parameters:
+
+# Dataset config
+datasets:
+    - path: BeaverAI/Nemo-Inst-Tune-ds
+      type: chat_template
+val_set_size: 0.05
+evaluation_strategy:
+eval_steps:
+evals_per_epoch: 20
+test_datasets:
+dataset_prepared_path: ./prepared-datasets
+shuffle_merged_datasets: true
+
+# Training hyperparameters
+num_epochs: 1
+gradient_accumulation_steps: 2
+micro_batch_size: 1
+eval_batch_size: 1
+warmup_steps: 25
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.000007
+loraplus_lr_ratio: 8
+loraplus_lr_embedding:
+cosine_min_lr_ratio: 0.1
+weight_decay: 0.1
+max_grad_norm: 1
+logging_steps: 1
+
+# Model optimization
+gradient_checkpointing: unsloth
+xformers_attention: false
+flash_attention: true
+sdp_attention: false
+unsloth_cross_entropy_loss: false
+unsloth_lora_mlp: false
+unsloth_lora_qkv: false
+unsloth_lora_o: false
+
+# Loss monitoring config
+early_stopping_patience: false
+loss_watchdog_threshold: 100.0
+loss_watchdog_patience: 3
+
+# Debug config
+debug: true
+seed: 42
+
+# DeepSpeed and FSDP config
+deepspeed: deepspeed_configs/zero2.json
+fsdp:
+fsdp_config:
+
+# Token config
+special_tokens:
+    pad_token: "<pad>"
+tokens:

config.json

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+{
+    "_name_or_path": "mistralai/Mistral-Nemo-Base-2407",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 1024000,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.43.0.dev0",
+    "use_cache": false,
+    "vocab_size": 131072,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.7",
+        "bits": 5.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.43.0.dev0"
+}

model.safetensors.index.json

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