NewEden / Hamanasu-4B-R2

huggingface.co
Total runs: 81
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: March 21 2025
text-generation

Introduction of Hamanasu-4B-R2

Model Details of Hamanasu-4B-R2

Built with Axolotl

See axolotl config

axolotl version: 0.8.0.dev0

base_model: NewEden_4B-PT
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

  #hub_model_id: NewEden/4B-Inst
  #hub_strategy: "all_checkpoints"
  #push_dataset_to_hub:
  #hf_use_auth_token: true

plugins:
  - axolotl.integrations.liger.LigerPlugin
  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
liger_rope: true
liger_rms_norm: true
liger_layer_norm: true
liger_glu_activation: true
liger_fused_linear_cross_entropy: false
cut_cross_entropy: true

load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: NewEden/Helpsteer-3-Filtered
    type: dan-chat-advanced
  - path: NewEden/GSM8K-R1-filtered
    type: dan-chat-advanced
  - path: NewEden/Hydrus-R1-Thinking-Sharegpt
    type: dan-chat-advanced
  - path: NewEden/Hydrus-SonnetOrca
    type: dan-chat-advanced
  - path: NewEden/Hydrus-HelpSteer2
    type: dan-chat-advanced
  - path: NewEden/Claude-Instruct-5K
    type: dan-chat-advanced
  - path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
    type: dan-chat-advanced
  - path: Nitral-AI/ARES-ShareGPT
    type: dan-chat-advanced 
  - path: NewEden/Hydrus-Instruct-SmolTalk
    type: dan-chat-advanced
  - path: NewEden/Hydrus-Chat_error-Pure-Dove-sharegpt
    type: dan-chat-advanced  
  - path: NewEden/Claude-Instruct-2.7K
    type: dan-chat-advanced 
  - path: PocketDoc/Dans-Assistantmaxx-Tulu3-IF
    type: dan-chat-advanced  
dataset_prepared_path: prepared_data
val_set_size: 0.0
output_dir: ./4b-inst-r2

sequence_len: 16384
sample_packing: true
pad_to_sequence_len: true


wandb_project: 4B-mng
wandb_entity:
wandb_watch:
wandb_name: attempt-2
wandb_log_model:

gradient_accumulation_steps: 2
micro_batch_size: 1
num_epochs: 2
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 5e-6
max_grad_norm: 0.2

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
saves_per_epoch: 2
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
weight_decay: 0.02
fsdp:
fsdp_config:
special_tokens:
  pad_token: <|finetune_right_pad_id|>

4b-inst-r2

This model was trained from scratch on the NewEden/Helpsteer-3-Filtered, the NewEden/GSM8K-R1-filtered, the NewEden/Hydrus-R1-Thinking-Sharegpt, the NewEden/Hydrus-SonnetOrca, the NewEden/Hydrus-HelpSteer2, the NewEden/Claude-Instruct-5K, the PocketDoc/Dans-MemoryCore-CoreCurriculum-Small, the Nitral-AI/ARES-ShareGPT, the NewEden/Hydrus-Instruct-SmolTalk, the NewEden/Hydrus-Chat_error-Pure-Dove-sharegpt, the NewEden/Claude-Instruct-2.7K and the PocketDoc/Dans-Assistantmaxx-Tulu3-IF 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: 5e-06
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • total_eval_batch_size: 4
  • 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
  • lr_scheduler_warmup_steps: 40
  • num_epochs: 2.0
Training results
Framework versions
  • Transformers 4.49.0
  • Pytorch 2.6.0+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0

Runs of NewEden Hamanasu-4B-R2 on huggingface.co

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More Information About Hamanasu-4B-R2 huggingface.co Model

Hamanasu-4B-R2 huggingface.co

Hamanasu-4B-R2 huggingface.co is an AI model on huggingface.co that provides Hamanasu-4B-R2's model effect (), which can be used instantly with this NewEden Hamanasu-4B-R2 model. huggingface.co supports a free trial of the Hamanasu-4B-R2 model, and also provides paid use of the Hamanasu-4B-R2. Support call Hamanasu-4B-R2 model through api, including Node.js, Python, http.

Hamanasu-4B-R2 huggingface.co Url

https://huggingface.co/NewEden/Hamanasu-4B-R2

NewEden Hamanasu-4B-R2 online free

Hamanasu-4B-R2 huggingface.co is an online trial and call api platform, which integrates Hamanasu-4B-R2's modeling effects, including api services, and provides a free online trial of Hamanasu-4B-R2, you can try Hamanasu-4B-R2 online for free by clicking the link below.

NewEden Hamanasu-4B-R2 online free url in huggingface.co:

https://huggingface.co/NewEden/Hamanasu-4B-R2

Hamanasu-4B-R2 install

Hamanasu-4B-R2 is an open source model from GitHub that offers a free installation service, and any user can find Hamanasu-4B-R2 on GitHub to install. At the same time, huggingface.co provides the effect of Hamanasu-4B-R2 install, users can directly use Hamanasu-4B-R2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Hamanasu-4B-R2 install url in huggingface.co:

https://huggingface.co/NewEden/Hamanasu-4B-R2

Url of Hamanasu-4B-R2

Hamanasu-4B-R2 huggingface.co Url

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