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Holland4bv1.yml

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+base_model: IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: NewEden/Gryphe-3.5-16k-Subset
+    type: sharegpt
+    conversation: chatml
+  - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
+    type: sharegpt
+    conversation: chatml
+  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
+    type: sharegpt
+    conversation: chatml
+  - path: PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
+    type: sharegpt
+    conversation: chatml
+
+chat_template: chatml
+
+val_set_size: 0.01
+output_dir: ./outputs/out
+
+adapter:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+
+sequence_len: 16384
+# sequence_len: 32768
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+
+wandb_project: Ohashi4b
+wandb_entity:
+wandb_watch:
+wandb_name: Ohashi4b
+wandb_log_model:
+
+gradient_accumulation_steps: 32
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.00002
+weight_decay: 0.05
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+
+debug:
+deepspeed:
+fsdp:
+fsdp_config:
+
+special_tokens:
+  pad_token: <|finetune_right_pad_id|>
+

InterLM.yaml

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+base_model: internlm/internlm2_5-1_8b
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+trust_remote_code: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: lodrick-the-lafted/NopmWritingStruct
+    type: sharegpt
+    conversation: chatml
+  - path: NewEden/Kalo-Opus-Instruct-25K-Refusal-killed
+    type: sharegpt
+    conversation: chatml
+  - path: NewEDen/Claude-Data-Anon-Killed
+    type: sharegpt
+    conversation: chatml
+  - path: MangoHQ/Gryphe-3.5-16k-Subset
+    type: sharegpt
+    conversation: chatml
+  - path: PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
+    type: sharegpt
+    conversation: chatml
+  - path: MangoHQ/opus-sharegpt2
+    type: sharegpt
+    conversation: chatml
+  - path: MangoHQ/opus-sharegpt1
+    type: sharegpt
+    conversation: chatml
+    
+chat_template: chatml
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/out
+sequence_len: 4096
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+
+adapter:
+lora_model_dir:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+wandb_project: Aleah-1.8B
+wandb_entity:
+wandb_watch:
+wandb_name: Aleah1.8BV2
+wandb_log_model:
+
+gradient_accumulation_steps: 64
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 0.00001
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+weight_decay: 0.0
+special_tokens:

Qwen7B.yaml

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+base_model: Qwen/Qwen2-7B
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+trust_remote_code: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: lodrick-the-lafted/NopmWritingStruct
+    type: sharegpt
+    conversation: chatml
+  - path: kalomaze/Opus_Instruct_25k
+    type: sharegpt
+    conversation: chatml
+  - path: kalomaze/Opus_Instruct_3k
+    type: sharegpt
+    conversation: chatml
+  - path: NewEden/Claude-Data-Anon-Killed
+    type: sharegpt
+    conversation: chatml
+  - path: PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
+    type: sharegpt
+    conversation: chatml
+    
+chat_template: chatml
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/out
+sequence_len: 32768
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+
+adapter:
+lora_model_dir:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+wandb_project: Magnum-9b
+wandb_entity:
+wandb_watch:
+wandb_name: 123-9b
+wandb_log_model:
+
+gradient_accumulation_steps: 64
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 0.00002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.05
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+weight_decay: 0.0
+special_tokens:

customgemma2.py

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+"""Module containing the CustomGemma2PromptTokenizingStrategy class"""
+
+# Import necessary modules and functions
+import copy
+import logging
+from collections import defaultdict
+from typing import Generator, List, Tuple
+
+# Import from axolotl package
+from axolotl.prompt_tokenizers import (
+    PromptTokenizingStrategy,
+    parse_tokenized_to_result,
+    tokenize_prompt_default,
+)
+
+# Set up logging
+LOG = logging.getLogger("axolotl")
+
+# Define a constant token ID to ignore
+IGNORE_TOKEN_ID = -100
+
+
+class CustomGemma2PromptTokenizingStrategy(PromptTokenizingStrategy):
+    """
+    Tokenizing strategy for CustomGemma2.
+    """
+
+    def __init__(self, prompter, tokenizer, *args, **kwargs):
+        # Call the superclass' constructor
+        super().__init__(prompter, tokenizer, *args, **kwargs)
+
+    def tokenize_prompt(self, prompt):
+        # Tokenize the prompt based on its conversations
+        result, current_len = tokenize_prompt_default()
+
+        # We don't want to remove the BOS token for the first turn
+        strip_bos = False
+
+        # Sometimes it gets named 'conversations' and other times 'conversation'
+        if "conversations" in prompt:
+            conversation_name = "conversations"
+        elif "conversation" in prompt:
+            conversation_name = "conversation"
+        else:
+            LOG.warning(f"sample does not contain 'conversations' or 'conversation'")
+            exit()
+
+        # Iterate over each conversation turn in the prompt
+        num_turns = len(prompt[conversation_name])
+        for i, turn in enumerate(prompt[conversation_name]):
+            # Strip BOS token and add a new line to the beginning if it's not the first turn
+            if i == 0:
+                strip_bos = False
+                add_new_line = ""
+            else:
+                strip_bos = True
+                add_new_line = "\n"
+
+            # Check if this is the last turn, so we know to add the EOS token
+            if i == num_turns - 1:
+                end_of_text = True
+            else:
+                end_of_text = False
+
+            # Get correct roles and messages
+            sharegpt_from, sharegpt_value = turn["from"].strip(), turn["value"].strip()
+            if sharegpt_from == "system":
+                role_name = "system"
+            elif sharegpt_from == "human":
+                role_name = "user"
+            elif sharegpt_from == "human-chat":
+                role_name = "user"
+                sharegpt_value = f"{turn['name'].strip()}: {sharegpt_value}"
+            elif sharegpt_from == "gpt":
+                role_name = "model"
+            elif sharegpt_from == "gpt-chat":
+                role_name = "model"
+                sharegpt_value = f"{turn['name'].strip()}: {sharegpt_value}"
+            else:
+                LOG.warning(f"'from' contains an unhandled string: {sharegpt_from}")
+                exit()
+
+            # Get tokens which will be masked out if using train_on_inputs: false
+            prefix = self._tokenize(
+                f"{add_new_line}<start_of_turn>{role_name}\n",
+                add_eos_token=False,
+                strip_bos_token=strip_bos,
+            )
+
+            # Get entire tokenized turn
+            res = self._tokenize(
+                f"{add_new_line}<start_of_turn>{role_name}\n"
+                f"{sharegpt_value.strip()}<end_of_turn>",
+                add_eos_token=end_of_text,
+                strip_bos_token=strip_bos,
+            )
+
+            # Handle masked user turn
+            if (
+                self.train_on_inputs is False
+                and (
+                    sharegpt_from == "system"
+                    or sharegpt_from == "human"
+                    or sharegpt_from == "human-chat"
+                )
+            ):
+                labels = [IGNORE_TOKEN_ID] * len(res["input_ids"])
+            # Handle partially masked model turn
+            elif (
+                self.train_on_inputs is False
+                and (
+                    sharegpt_from == "gpt"
+                    or sharegpt_from == "gpt-chat"
+                )
+            ):
+                labels = (
+                    [IGNORE_TOKEN_ID] * len(prefix["input_ids"])  # Mask the prefix
+                    + [*copy.deepcopy(res["input_ids"])][len(prefix["input_ids"]):]
+                )
+            # Handle unmasked turn
+            else:
+                labels = res["input_ids"]
+
+            # Parse tokenized result and update current length
+            result, current_len = parse_tokenized_to_result(
+                result,
+                current_len,
+                res,
+                labels,
+                pad_token_id=self.tokenizer.pad_token_id,
+            )
+
+        return result
+
+
+# TODO: Remove this as it doesn't get used
+class CustomGemma2Prompter:
+    """
+    Prompter for CustomGemma2.
+    """
+
+    def __init__(self, *args, **kwargs):
+        # Constructor does nothing
+        pass
+
+
+# Function to load the CustomGemma2PromptTokenizingStrategy
+def load(tokenizer, cfg):
+    return CustomGemma2PromptTokenizingStrategy(
+        CustomGemma2Prompter(),  # TODO: Remove this as it doesn't get used
+        tokenizer,
+        cfg.train_on_inputs,
+        cfg.sequence_len
+    )

gemma2FFT.yaml

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+base_model: google/gemma-2-9b
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+chat_template: gemma
+train_on_eos: true
+datasets:
+  - path: NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered
+    type: chat_template
+    chat_template: gemma
+    drop_system_message: true
+  - path: NewEden/Gryphe-3.5-16k-Subset
+    type: chat_template
+    chat_template: gemma
+    drop_system_message: true
+  - path: Epiculous/Synthstruct-Gens-v1-Filtered-n-Cleaned
+    type: chat_template
+    chat_template: gemma
+    drop_system_message: true
+
+val_set_size: 0.02
+output_dir: ./outputs/out
+
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: Magnum9B
+wandb_entity:
+wandb_watch:
+wandb_name: Magnum9B
+wandb_log_model:
+
+
+gradient_accumulation_steps: 12
+micro_batch_size: 1
+num_epochs: 1
+#optimizer: adamw_bnb_8bit
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+#learning_rate: 1e-5
+learning_rate: 8e-6
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: true
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+deepspeed: ./deepspeed_configs/zero3_bf16.json
+
+warmup_steps: 15
+evals_per_epoch: 0
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 5
+save_total_limit: 3
+debug:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:

gemmy.yaml

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+base_model: IntervitensInc/gemma-2-9b-chatml
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+# huggingface repo
+datasets:
+  - path: NewEden/Kalo-Opus-Instruct-25K-Refusal-killed
+    type: chatml
+  - path: NewEden/Gryphe-3.5-16k-Subset
+    type: chatml
+
+val_set_size: 0.05
+output_dir: ./outputs/out
+
+adapter: lora
+peft_use_rslora: true
+lora_r: 32
+lora_alpha: 32
+lora_dropout: 0.05
+lora_target_linear: true
+
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: magnum 9b
+wandb_entity:
+wandb_watch:
+wandb_name: magnum 9b inst 
+wandb_log_model:
+
+
+gradient_accumulation_steps: 32
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.00002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed: zero2.json
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:

magstral.yaml

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+base_model: mistralai/Mistral-7B-v0.3
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: MangoHQ/Kalo-Opus-Instruct-22k-Refusal-Murdered
+    type: sharegpt
+  - path: MangoHQ/Gryphe-3.5-16k-Subset
+    type: sharegpt
+  - path: Epiculous/Synthstruct-Gens-v1-Filtered-n-Cleaned
+    type: sharegpt
+
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/out
+
+sequence_len: 16384
+sample_packing: true
+pad_to_sequence_len: true
+eval_sample_packing: false
+
+wandb_project: Magstral 7B
+wandb_entity:
+wandb_watch:
+wandb_name: Magstral 7B
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.000005
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size: 
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:

mergeddatasets4b.yml

@@ -0,0 +1,71 @@
+base_model: IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: Edens-Gate/jellymazeisacuteandfunnybear
+    type: sharegpt
+    conversation: chatml
+
+chat_template: chatml
+
+val_set_size: 0.01
+output_dir: ./outputs/out
+
+adapter:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+
+sequence_len: 16384
+# sequence_len: 32768
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: tinymagnumr6
+wandb_entity:
+wandb_watch:
+wandb_name: tinymagnumr6
+wandb_log_model:
+
+gradient_accumulation_steps: 8
+micro_batch_size: 1
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.000003
+weight_decay: 0.05
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+
+debug:
+deepspeed:
+fsdp:
+fsdp_config:
+
+special_tokens:
+  pad_token: <|finetune_right_pad_id|>

sdprompter.yaml

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+base_model: MangyMango/Qwen-1.5B-Claude
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+trust_remote_code: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: NewEden/CivitAI-Prompts
+#    type:
+#      system_prompt: ""
+#      system_format: "<|im_start|>system\n{system}<|im_end|>\n"
+#      field_system: instruction
+#      field_instruction: input
+#      field_input: ""
+#      field_output: output
+#      no_input_format: "<|im_start|>user\n{instruction}<|im_end|>\n<|im_start|>assistant\n"
+
+#      system_prompt: ""
+#      field_instruction: instruction
+#      field_input: input
+#      field_output: output
+#      format: |-
+#        <|im_start|>system
+#        {instruction}<|im_end|>
+#        <|im_start|>user
+#        {input}<|im_end|>
+#        <|im_start|>assistant
+#        {output}
+
+    type: alpaca
+    conversation: mpt-30b-instruct
+#    field_system: instruction
+#    field_instruction: input
+#    field_input: input
+#    field_output: output
+chat_template: alpaca
+
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/out2
+sequence_len: 2048
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+
+adapter:
+lora_model_dir:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name: 
+wandb_log_model:
+
+gradient_accumulation_steps: 64
+micro_batch_size: 1
+num_epochs: 3
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 0.00002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.05
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+weight_decay: 0.0
+special_tokens:

tinygemma.yaml

@@ -0,0 +1,68 @@
+base_model: SillyTilly/google_gemma-2-2b
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+# huggingface repo
+datasets:
+  - path: NewEden/Kalo-Opus-Instruct-25K-Refusal-killed
+  - type: chatml
+  - path: NewEden/Gryphe-3.5-16k-Subset
+  - type: chatml
+
+val_set_size: 0.0
+output_dir: ./outputs/out
+
+adapter: 
+lora_r: 
+lora_alpha: 
+lora_dropout: 
+lora_target_linear: 
+
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: TinyGemmy
+wandb_entity:
+wandb_watch:
+wandb_name: TinyGemmy
+wandb_log_model:
+
+
+gradient_accumulation_steps: 32
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.00002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens: