初始化项目，由ModelHub XC社区提供模型
Model: anthracite-org/magnum-v4-12b Source: Original Platform
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README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- chat
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pipeline_tag: text-generation
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model-index:
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- name: magnum-v4-12b
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 33.93
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name: strict accuracy
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 30.5
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||||
name: normalized accuracy
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||||
source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 9.82
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||||
name: exact match
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||||
source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
|
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- type: acc_norm
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||||
value: 6.15
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||||
name: acc_norm
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
|
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- type: acc_norm
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value: 10.36
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||||
name: acc_norm
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||||
source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 28.93
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name: accuracy
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||||
source:
|
||||
url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
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name: Open LLM Leaderboard
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datasets:
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- anthracite-org/c2_logs_32k_llama3_qwen2_v1.2_no_system
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- anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system
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- anthracite-org/kalo-opus-instruct-3k-filtered-no-system
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- anthracite-org/nopm_claude_writing_fixed
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- anthracite-org/kalo_opus_misc_240827_no_system
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- anthracite-org/kalo_misc_part2_no_system
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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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This model is fine-tuned on top of [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407).
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## Prompting
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A typical input would look like this:
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```py
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<s>[INST] SYSTEM MESSAGE
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USER MESSAGE[/INST] ASSISTANT MESSAGE</s>[INST] USER MESSAGE[/INST]
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```
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## SillyTavern templates
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Below are Instruct and Context templates for use within SillyTavern.
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<details><summary>context template</summary>
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```yaml
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default SillyTavern template works fine
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```
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</details><br>
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<details><summary>instruct template</summary>
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```yaml
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default SillyTavern template works fine
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```
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</details><br>
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## Axolotl config
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<details><summary>See axolotl config</summary>
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```yaml
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base_model: mistralai/Mistral-Nemo-Instruct-2407
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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hub_model_id: anthracite-org/magnum-v4-12b-r2
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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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plugins:
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- axolotl.integrations.liger.LigerPlugin
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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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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: anthracite-org/c2_logs_32k_llama3_qwen2_v1.2_no_system
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type: custommistralv3tekken
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- path: anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system
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type: custommistralv3tekken
|
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- path: anthracite-org/kalo-opus-instruct-3k-filtered-no-system
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type: custommistralv3tekken
|
||||
- path: anthracite-org/nopm_claude_writing_fixed
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type: custommistralv3tekken
|
||||
- path: anthracite-org/kalo_opus_misc_240827_no_system
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type: custommistralv3tekken
|
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- path: anthracite-org/kalo_misc_part2_no_system
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type: custommistralv3tekken
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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/magnum-12b-data
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val_set_size: 0.0
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output_dir: /workspace/data/12b-fft-out
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|
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sequence_len: 32768
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sample_packing: true
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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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wandb_project: 12b-magnum-fft
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wandb_entity:
|
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wandb_watch:
|
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wandb_name: v4-r2-attempt-01
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wandb_log_model:
|
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|
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gradient_accumulation_steps: 2
|
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micro_batch_size: 1
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num_epochs: 2
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optimizer: adamw_bnb_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
|
||||
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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resume_from_checkpoint:
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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: 40
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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/zero2.json
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weight_decay: 0.1
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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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## 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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We would also like to thank all members of Anthracite who made this finetune possible.
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## Datasets
|
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- [anthracite-org/c2_logs_32k_llama3_qwen2_v1.2_no_system](https://huggingface.co/datasets/anthracite-org/c2_logs_32k_llama3_qwen2_v1.2_no_system)
|
||||
- [anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system](https://huggingface.co/datasets/anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system)
|
||||
- [anthracite-org/kalo-opus-instruct-3k-filtered-no-system](https://huggingface.co/datasets/anthracite-org/kalo-opus-instruct-3k-filtered-no-system)
|
||||
- [anthracite-org/nopm_claude_writing_fixed](https://huggingface.co/datasets/anthracite-org/nopm_claude_writing_fixed)
|
||||
- [anthracite-org/kalo_opus_misc_240827_no_system](https://huggingface.co/datasets/anthracite-org/kalo_opus_misc_240827_no_system)
|
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- [anthracite-org/kalo_misc_part2_no_system](https://huggingface.co/datasets/anthracite-org/kalo_misc_part2_no_system)
|
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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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|
||||
[<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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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_anthracite-org__magnum-v4-12b)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |19.95|
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|IFEval (0-Shot) |33.93|
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|BBH (3-Shot) |30.50|
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|MATH Lvl 5 (4-Shot)| 9.82|
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|GPQA (0-shot) | 6.15|
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|MuSR (0-shot) |10.36|
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|MMLU-PRO (5-shot) |28.93|
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config.json
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config.json
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{
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"_name_or_path": "mistralai/Mistral-Nemo-Instruct-2407",
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"architectures": [
|
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"MistralForCausalLM"
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],
|
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"attention_dropout": 0.0,
|
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"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": "4.45.0.dev0",
|
||||
"use_cache": false,
|
||||
"vocab_size": 131072
|
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}
|
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generation_config.json
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|
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"_from_model_config": true,
|
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"do_sample": true,
|
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|
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"transformers_version": "4.45.0.dev0"
|
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}
|
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||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false
|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"pad_token": {
|
||||
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||||
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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
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|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
409625
tokenizer.json
Normal file
409625
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
8019
tokenizer_config.json
Normal file
8019
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user