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README.md ADDED
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+ ---
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+ license: gemma
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+ language:
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+ - en
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+ tags:
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+ - chat
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+ pipeline_tag: text-generation
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+ library_name: transformers
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+ ---
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+
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+ # MLX Format and Quantizations for Magnum v4 27b
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+
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+ Quantized to 8-bit precision and tested using the mlx_lm utility on a 64GiB URAM M1 Max.
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+
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+ See [original model](https://huggingface.co/anthracite-org/magnum-v4-27b) for further details.
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+
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+ # Original model card
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/658a46cbfb9c2bdfae75b3a6/EAyOLldRzMpRwdsUZ5PLl.png)
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+
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+
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+ This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus.
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+
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+
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+
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+ This model is fine-tuned on top of [Gemma 27b (chatML'ified)](https://huggingface.co/IntervitensInc/gemma-2-27b-chatml).
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+
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+ ## Prompting
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+ A typical input would look like this:
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+
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+ ```py
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+ <|im_start|>system
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+ system prompt<|im_end|>
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+ <|im_start|>user
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+ Hi there!<|im_end|>
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+ <|im_start|>assistant
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+ Nice to meet you!<|im_end|>
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+ <|im_start|>user
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+ Can I ask a question?<|im_end|>
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+ <|im_start|>assistant
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+ ```
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+
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+ ## SillyTavern templates
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+
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+ Below are Instruct and Context templates for use within SillyTavern.
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+
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+ <details><summary>context template</summary>
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+
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+ ```yaml
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+ {
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+ "story_string": "<|im_start|>system\n{{#if system}}{{system}}\n{{/if}}{{#if wiBefore}}{{wiBefore}}\n{{/if}}{{#if description}}{{description}}\n{{/if}}{{#if personality}}{{char}}'s personality: {{personality}}\n{{/if}}{{#if scenario}}Scenario: {{scenario}}\n{{/if}}{{#if wiAfter}}{{wiAfter}}\n{{/if}}{{#if persona}}{{persona}}\n{{/if}}{{trim}}<|im_end|>\n",
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+ "example_separator": "",
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+ "chat_start": "",
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+ "use_stop_strings": false,
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+ "allow_jailbreak": false,
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+ "always_force_name2": true,
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+ "trim_sentences": false,
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+ "include_newline": false,
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+ "single_line": false,
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+ "name": "Magnum ChatML"
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+ }
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+ ```
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+
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+ </details><br>
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+ <details><summary>instruct template</summary>
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+
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+ ```yaml
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+ {
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+ "system_prompt": "Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}.\n\n<Guidelines>\n• Maintain the character persona but allow it to evolve with the story.\n• Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant.\n• All types of outputs are encouraged; respond accordingly to the narrative.\n• Include dialogues, actions, and thoughts in each response.\n• Utilize all five senses to describe scenarios within {{char}}'s dialogue.\n• Use emotional symbols such as "!" and "~" in appropriate contexts.\n• Incorporate onomatopoeia when suitable.\n• Allow time for {{user}} to respond with their own input, respecting their agency.\n• Act as secondary characters and NPCs as needed, and remove them when appropriate.\n• When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}.\n</Guidelines>\n\n<Forbidden>\n• Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona.\n• Writing for, speaking, thinking, acting, or replying as {{user}} in your response.\n• Repetitive and monotonous outputs.\n• Positivity bias in your replies.\n• Being overly extreme or NSFW when the narrative context is inappropriate.\n</Forbidden>\n\nFollow the instructions in <Guidelines></Guidelines>, avoiding the items listed in <Forbidden></Forbidden>.",
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+ "input_sequence": "<|im_start|>user\n",
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+ "output_sequence": "<|im_start|>assistant\n",
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+ "last_output_sequence": "",
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+ "system_sequence": "<|im_start|>system\n",
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+ "stop_sequence": "<|im_end|>",
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+ "wrap": false,
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+ "macro": true,
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+ "names": true,
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+ "names_force_groups": true,
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+ "activation_regex": "",
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+ "system_sequence_prefix": "",
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+ "system_sequence_suffix": "",
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+ "first_output_sequence": "",
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+ "skip_examples": false,
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+ "output_suffix": "<|im_end|>\n",
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+ "input_suffix": "<|im_end|>\n",
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+ "system_suffix": "<|im_end|>\n",
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+ "user_alignment_message": "",
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+ "system_same_as_user": false,
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+ "last_system_sequence": "",
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+ "name": "Magnum ChatML"
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+ }
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+ ```
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+
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+ </details><br>
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+
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+ ## Axolotl config
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+
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+ <details><summary>See axolotl config</summary>
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+
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+ ```yaml
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+ base_model: IntervitensInc/gemma-2-27b-chatml
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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+
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+ hub_model_id: anthracite-org/magnum-v4-27b-r1
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+ hub_strategy: "all_checkpoints"
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+ push_dataset_to_hub:
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+ hf_use_auth_token: true
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+
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ liger_cross_entropy: true
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+ #liger_rope: true
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+ #liger_rms_norm: true
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+ #liger_swiglu: true
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+ #liger_fused_linear_cross_entropy: true
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ datasets:
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+ - path: anthracite-org/c2_logs_16k_llama_v1.1
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+ type: sharegpt
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+ conversation: chatml
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+ - path: NewEden/Claude-Instruct-5K
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+ type: sharegpt
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+ conversation: chatml
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+ - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
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+ type: sharegpt
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+ conversation: chatml
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+ - path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
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+ type: sharegpt
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+ conversation: chatml
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+ - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
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+ type: sharegpt
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+ conversation: chatml
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+ - path: anthracite-org/nopm_claude_writing_fixed
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+ type: sharegpt
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+ conversation: chatml
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+ - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
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+ type: sharegpt
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+ conversation: chatml
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+ - path: anthracite-org/kalo_opus_misc_240827
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+ type: sharegpt
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+ conversation: chatml
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+ - path: anthracite-org/kalo_misc_part2
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+ type: sharegpt
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+ conversation: chatml
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+ chat_template: chatml
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+ shuffle_merged_datasets: true
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+ default_system_message: "You are an assistant that responds to the user."
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+ dataset_prepared_path: /workspace/data/27-fft-data
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+ val_set_size: 0.0
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+ output_dir: /workspace/data/27b-fft-out
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+
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+ sequence_len: 8192
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+ sample_packing: true
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+ eval_sample_packing: false
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+ pad_to_sequence_len: true
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+
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+ adapter:
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+ lora_model_dir:
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+ lora_r:
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+ lora_alpha:
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+ lora_dropout:
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+ lora_target_linear:
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+ lora_fan_in_fan_out:
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+
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+ wandb_project: 27b-nemo-config-fft
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name: attempt-01
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 8
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+ micro_batch_size: 1
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+ num_epochs: 4
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+ optimizer: paged_adamw_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 0.00001
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: auto
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+ fp16:
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+ tf32: false
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+
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+ gradient_checkpointing: true
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+ early_stopping_patience:
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+ auto_resume_from_checkpoints: true
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+ local_rank:
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+ logging_steps: 1
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+ xformers_attention:
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+ flash_attention: true
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+
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+ warmup_steps: 10
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+ evals_per_epoch:
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+ eval_table_size:
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+ eval_max_new_tokens:
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+ saves_per_epoch: 2
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+ debug:
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+ deepspeed: deepspeed_configs/zero3_bf16.json
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+ weight_decay: 0.01
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+ pad_token: <pad>
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+ ```
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+ </details><br>
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+
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+ ## Credits
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+ We'd like to thank Recursal / Featherless for sponsoring the compute for this train, Featherless has been hosting our Magnum models since the first 72 B and has given thousands of people access to our models and helped us grow.
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+
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+ We would also like to thank all members of Anthracite who made this finetune possible.
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+
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+ ## Datasets
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+ - [anthracite-org/c2_logs_16k_llama_v1.1](https://huggingface.co/datasets/anthracite-org/c2_logs_16k_llama_v1.1)
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+ - [NewEden/Claude-Instruct-5K](https://huggingface.co/datasets/NewEden/Claude-Instruct-5K)
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+ - [anthracite-org/kalo-opus-instruct-22k-no-refusal](https://huggingface.co/datasets/anthracite-org/kalo-opus-instruct-22k-no-refusal)
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+ - [Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned](https://huggingface.co/datasets/Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned)
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+ - [lodrick-the-lafted/kalo-opus-instruct-3k-filtered](https://huggingface.co/datasets/lodrick-the-lafted/kalo-opus-instruct-3k-filtered)
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+ - [anthracite-org/nopm_claude_writing_fixed](https://huggingface.co/datasets/anthracite-org/nopm_claude_writing_fixed)
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+ - [Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned](https://huggingface.co/datasets/Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned)
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+ - [anthracite-org/kalo_opus_misc_240827](https://huggingface.co/datasets/anthracite-org/kalo_opus_misc_240827)
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+ - [anthracite-org/kalo_misc_part2](https://huggingface.co/datasets/anthracite-org/kalo_misc_part2)
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+
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+ ## Training
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+ The training was done for 2 epochs. We used 8x[H100s](https://www.nvidia.com/en-us/data-center/h100/) GPUs graciously provided by [Recursal AI](https://recursal.ai/) / [Featherless AI](https://featherless.ai/) for the full-parameter fine-tuning of the model.
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+
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+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+
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+ ## Safety
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+ ...
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+ },
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+ "additional_special_tokens": [
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+ "<start_of_turn>",
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+ "<end_of_turn>"
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+ ],
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+ "bos_token": "<bos>",
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+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "<pad>",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "GemmaTokenizer",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false
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+ }