| | --- |
| | library_name: peft |
| | license: apache-2.0 |
| | base_model: Gryphe/Codex-24B-Small-3.2 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - ToastyPigeon/cowriter-instruct |
| | - allura-org/EU01-S2 |
| | - allenai/tulu-3-sft-personas-instruction-following |
| | - ToastyPigeon/mixed-medical-reasoning-formatted |
| | - ToastyPigeon/steve-and-marvin |
| | - ToastyPigeon/new-story-dataset |
| | - allura-org/fujin-instruct-v2 |
| | - ToastyPigeon/some-rp-extended |
| | - ToastyPigeon/gutenberg-sft |
| | - ToastyPigeon/SpringDragon |
| | - ToastyPigeon/some-erotica |
| | model-index: |
| | - name: workspace/aibox-standalone-pool/axolotl/glitterms32-v2-ckpts |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
| | <details><summary>See axolotl config</summary> |
| |
|
| | axolotl version: `0.10.0.dev0` |
| | ```yaml |
| | # === Model Configuration === |
| | base_model: Gryphe/Codex-24B-Small-3.2 |
| | load_in_8bit: false |
| | load_in_4bit: true |
| | |
| | # === HF Configuration === |
| | #hub_model_id: ToastyPigeon/sparkly-3.2-train |
| | #hub_strategy: "checkpoint" |
| | |
| | # === Training Setup === |
| | num_epochs: 1 |
| | micro_batch_size: 1 |
| | gradient_accumulation_steps: 8 |
| | sequence_len: 8192 |
| | sample_packing: true |
| | pad_to_sequence_len: true |
| | max_steps: 10 |
| | # === Evaluation === |
| | #val_set_size: 0.01 |
| | #evals_per_epoch: 5 |
| | #eval_steps: 20 |
| | #max_steps: 60 |
| | #eval_table_size: |
| | #eval_max_new_tokens: 128 |
| | #eval_sample_packing: true |
| | eval_strategy: "no" |
| | |
| | # === LoRA Configuration === |
| | adapter: qlora |
| | lora_model_dir: |
| | lora_r: 16 |
| | lora_alpha: 16 |
| | lora_dropout: 0.5 |
| | lora_target_linear: true |
| | lora_fan_in_fan_out: |
| | lora_target_modules: |
| | #peft_use_rslora: true |
| | lora_modules_to_save: |
| | - embed_tokens |
| | # - lm_head |
| | #lora_mlp_kernel: true |
| | #lora_qkv_kernel: true |
| | #lora_o_kernel: true |
| | |
| | # === Hyperparameter Configuration === |
| | #optimizer: apollo_adamw_layerwise |
| | warmup_steps: 0 |
| | #optimizer: adamw_torch_fused |
| | optimizer: paged_adamw_8bit |
| | #optim_args: |
| | # enable_stochastic_rounding: true |
| | # enable_cautious: true |
| | # enable_8bit: true |
| | # Apollo-mini configuration: |
| | #optim_args: "proj=random,rank=128,scale=128.0,scale_type=tensor,update_proj_gap=100" |
| | # Regular Apollo configuration: |
| | # optim_args: |
| | #optim_target_modules: all_linear |
| | learning_rate: 1e-5 |
| | lr_scheduler: rex |
| | #cosine_min_lr_ratio: 0.2 |
| | #lr_scheduler: cosine_with_min_lr |
| | #lr_scheduler_kwargs: |
| | # cosine_min_lr: 1e-6 |
| | weight_decay: 0.01 |
| | max_grad_norm: 1.0 |
| | #warmup_steps: 0 |
| | #warmup_ratio: 0.025 |
| | |
| | |
| | # === Data Configuration === |
| | #chat_template: jinja |
| | #chat_template_jinja: "{%- set default_system_message = \"You are Mistral Small 3, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in Paris. You obediently fulfill the user's requests.\" %}\n\n{{- bos_token }}\n\n{%- if messages[0]['role'] == 'system' %}\n {%- if messages[0]['content'] is string %}\n {%- set system_message = messages[0]['content'] %}\n {%- else %}\n {%- set system_message = messages[0]['content'][0]['text'] %}\n {%- endif %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set system_message = default_system_message %}\n {%- set loop_messages = messages %}\n{%- endif %}\n{{- '[SYSTEM_PROMPT]' + system_message + '[/SYSTEM_PROMPT]' }}\n\n{%- for message in loop_messages %}\n {%- if message['role'] == 'user' %}\n {%- if message['content'] is string %}\n {{- '[INST]' + message['content'] + '[/INST]' }}\n {%- else %}\n {{- '[INST]' }}\n {%- for bl (line truncated to 1000 characters) |
| | chat_template: chatml |
| | #special_tokens: |
| | # eos_token: "</s>" |
| | |
| | tokenizer_use_mistral_common: true |
| | shuffle_merged_datasets: true |
| | datasets: |
| | - path: ToastyPigeon/cowriter-instruct |
| | type: chat_template |
| | data_files: |
| | - cowriter-4k.json |
| | - cowriter-8k.json |
| | - path: allura-org/EU01-S2 |
| | type: chat_template |
| | field_messages: conversations |
| | message_property_mappings: |
| | role: from |
| | content: value |
| | - path: allenai/tulu-3-sft-personas-instruction-following |
| | type: chat_template |
| | split: train[:10%] |
| | - path: ToastyPigeon/mixed-medical-reasoning-formatted |
| | type: chat_template |
| | data_files: mixed-medical-thinking.json |
| | split: train[:10%] |
| | - path: ToastyPigeon/steve-and-marvin |
| | type: completion |
| | data_files: marvin.json |
| | - path: ToastyPigeon/new-story-dataset |
| | type: customcompletion-regex |
| | data_files: new-story-dataset-v2.json |
| | - path: allura-org/fujin-instruct-v2 |
| | type: customchatml-regex |
| | field_messages: conversations |
| | message_property_mappings: |
| | role: from |
| | content: value |
| | - path: ToastyPigeon/some-rp-extended |
| | type: customchatml-regex |
| | field_messages: conversations |
| | message_property_mappings: |
| | role: from |
| | content: value |
| | - path: ToastyPigeon/gutenberg-sft |
| | type: customchatml-regex |
| | field_messages: conversations |
| | message_property_mappings: |
| | role: from |
| | content: value |
| | - path: ToastyPigeon/SpringDragon |
| | type: customcompletion-regex |
| | split: train |
| | - path: ToastyPigeon/some-erotica |
| | type: customcompletion-regex |
| | split: train[:100] |
| | |
| | dataset_prepared_path: last_run_prepared |
| | |
| | |
| | # === Plugins === |
| | plugins: |
| | - axolotl.integrations.liger.LigerPlugin |
| | - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
| | |
| | # === Hardware Optimization === |
| | gradient_checkpointing: offload |
| | gradient_checkpointing_kwargs: |
| | use_reentrant: false |
| | liger_rope: true |
| | liger_rms_norm: true |
| | liger_layer_norm: true |
| | liger_glu_activation: true |
| | #liger_fused_linear_cross_entropy: true |
| | cut_cross_entropy: true |
| | |
| | deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json |
| | |
| | # === FSDP Config === |
| | |
| | # === Wandb Tracking === |
| | wandb_project: Mistral-3.2 |
| | # wandb_entity: [WANDB_ENTITY] |
| | # wandb_name: [WANDB_RUN_NAME] |
| | |
| | # === Checkpointing === |
| | saves_per_epoch: 1 |
| | save_total_limit: 1 |
| | |
| | # === Advanced Settings === |
| | output_dir: /workspace/aibox-standalone-pool/axolotl/glitterms32-v2-ckpts |
| | bf16: auto |
| | flash_attention: true |
| | train_on_inputs: false |
| | group_by_length: false |
| | save_safetensors: true |
| | logging_steps: 1 |
| | gc_steps: 10 |
| | seed: 69 |
| | |
| | |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # workspace/aibox-standalone-pool/axolotl/glitterms32-v2-ckpts |
| |
|
| | This model is a fine-tuned version of [Gryphe/Codex-24B-Small-3.2](https://huggingface.co/Gryphe/Codex-24B-Small-3.2) on the ToastyPigeon/cowriter-instruct, the allura-org/EU01-S2, the allenai/tulu-3-sft-personas-instruction-following, the ToastyPigeon/mixed-medical-reasoning-formatted, the ToastyPigeon/steve-and-marvin, the ToastyPigeon/new-story-dataset, the allura-org/fujin-instruct-v2, the ToastyPigeon/some-rp-extended, the ToastyPigeon/gutenberg-sft, the ToastyPigeon/SpringDragon and the ToastyPigeon/some-erotica datasets. |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 1e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 69 |
| | - distributed_type: multi-GPU |
| | - num_devices: 2 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 16 |
| | - total_eval_batch_size: 2 |
| | - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: cosine |
| | - training_steps: 10 |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.15.2 |
| | - Transformers 4.51.3 |
| | - Pytorch 2.7.0+cu128 |
| | - Datasets 3.5.1 |
| | - Tokenizers 0.21.1 |
