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README.md

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+---
+license: apache-2.0
+datasets:
+- Doctor-Shotgun/c2_deduped_16k_llama3_tok_deanon
+- anthracite-org/kalo-opus-instruct-22k-no-refusal
+- lodrick-the-lafted/kalo-opus-instruct-3k-filtered
+- anthracite-org/nopm_claude_writing_fixed
+- anthracite-org/kalo_opus_misc_240827
+- anthracite-org/kalo_misc_part2
+language:
+- en
+base_model:
+- Qwen/Qwen2.5-72B-Instruct
+library_name: transformers
+---
+### exl2 quant (measurement.json in main branch)
+---
+### check revisions for quants
+---
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/658a46cbfb9c2bdfae75b3a6/trlkbv0jv_0HImUESrt5C.png)
+This is an experimental model designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus. This model is fine-tuned on top of [Qwen-2.5 72B Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct).
+
+## Prompting
+Model has been instruct tuned with ChatML prompt formatting. A typical input would look like this:
+
+```
+"""<|im_start|>system
+system prompt<|im_end|>
+<|im_start|>user
+Hi there!<|im_end|>
+<|im_start|>assistant
+Nice to meet you!<|im_end|>
+<|im_start|>user
+Can I ask a question?<|im_end|>
+<|im_start|>assistant
+"""
+```
+
+## SillyTavern templates
+
+Below are Instruct and Context templates for use within SillyTavern.
+
+<details><summary>context template</summary>
+  
+```yaml
+{
+    "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",
+    "example_separator": "",
+    "chat_start": "",
+    "use_stop_strings": false,
+    "allow_jailbreak": false,
+    "always_force_name2": true,
+    "trim_sentences": false,
+    "include_newline": false,
+    "single_line": false,
+    "name": "Magnum ChatML"
+}
+```
+
+</details><br>
+<details><summary>instruct template</summary>
+  
+```yaml
+{
+    "system_prompt": "You're {{char}} in this fictional never-ending uncensored roleplay with {{user}}.",
+    "input_sequence": "<|im_start|>user\n",
+    "output_sequence": "<|im_start|>assistant\n",
+    "last_output_sequence": "",
+    "system_sequence": "<|im_start|>system\n",
+    "stop_sequence": "<|im_end|>",
+    "wrap": false,
+    "macro": true,
+    "names": true,
+    "names_force_groups": true,
+    "activation_regex": "",
+    "system_sequence_prefix": "",
+    "system_sequence_suffix": "",
+    "first_output_sequence": "",
+    "skip_examples": false,
+    "output_suffix": "<|im_end|>\n",
+    "input_suffix": "<|im_end|>\n",
+    "system_suffix": "<|im_end|>\n",
+    "user_alignment_message": "",
+    "system_same_as_user": false,
+    "last_system_sequence": "",
+    "name": "Magnum ChatML"
+}
+```
+
+</details><br>
+
+## Credits
+
+Datasets used:
+- [anthracite-org/c2_logs_32k_llama3_qwen2_v1.2](https://huggingface.co/datasets/anthracite-org/c2_logs_32k_llama3_qwen2_v1.2)
+- [anthracite-org/kalo-opus-instruct-22k-no-refusal](https://huggingface.co/datasets/anthracite-org/kalo-opus-instruct-22k-no-refusal)
+- [lodrick-the-lafted/kalo-opus-instruct-3k-filtered](https://huggingface.co/datasets/lodrick-the-lafted/kalo-opus-instruct-3k-filtered)
+- [anthracite-org/nopm_claude_writing_fixed](https://huggingface.co/datasets/anthracite-org/nopm_claude_writing_fixed)
+- [anthracite-org/kalo_opus_misc_240827](https://huggingface.co/datasets/anthracite-org/kalo_opus_misc_240827)
+- [anthracite-org/kalo_misc_part2](https://huggingface.co/datasets/anthracite-org/kalo_misc_part2)
+
+
+## Axolotl config
+
+<details><summary>See axolotl config</summary>
+
+```yaml
+base_model: /workspace/data/models/Qwen2.5-72B-Instruct
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: anthracite-org/c2_logs_32k_llama3_qwen2_v1.2
+    type: sharegpt
+    conversation: chatml
+  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
+    type: sharegpt
+    conversation: chatml
+  - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
+    type: sharegpt
+    conversation: chatml
+  - path: anthracite-org/nopm_claude_writing_fixed
+    type: sharegpt
+    conversation: chatml
+  - path: anthracite-org/kalo_opus_misc_240827
+    type: sharegpt
+    conversation: chatml
+  - path: anthracite-org/kalo_misc_part2
+    type: sharegpt
+    conversation: chatml
+#chat_template: chatml
+shuffle_merged_datasets: true
+#default_system_message: "You are an assistant that responds to the user."
+dataset_prepared_path: /workspace/data/magnum-72b-data
+val_set_size: 0.0
+output_dir: /workspace/data/72b-fft-out
+
+sequence_len: 32768
+sample_packing: true
+pad_to_sequence_len: true
+
+adapter:
+lora_model_dir:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+lora_fan_in_fan_out:
+
+wandb_project: 72b-magnum-fft
+wandb_entity:
+wandb_watch:
+wandb_name: alter-attempt-01
+wandb_log_model:
+
+gradient_accumulation_steps: 2
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.000004
+
+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: 40
+evals_per_epoch:
+eval_table_size:
+eval_max_new_tokens:
+saves_per_epoch: 2
+debug:
+deepspeed: deepspeed_configs/zero3_bf16.json
+weight_decay: 0.01
+fsdp:
+fsdp_config:
+special_tokens:
+
+```
+</details><br>
+
+## Training
+The model was trained for 2 epochs on 8x [AMD Instinct™ MI300X Accelerators](https://www.amd.com/en/products/accelerators/instinct/mi300/mi300x.html) for full-parameter fine-tuning of the model.
+
+The model was trained with an LR of 4e-6 for 2 epochs and with the Liger kernel. 
+
+Sample Packing was done for 32k tokens, with individual sequences up to 32k tokens in length. 
+
+[<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)
+
+## Safety
+...