amphora / fc-reasoning-2.1b

huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: 4
30-day runs: 5
Model's Last Updated: September 08 2025
text-generation

Introduction of fc-reasoning-2.1b

Model Details of fc-reasoning-2.1b

Built with Axolotl

See axolotl config

axolotl version: 0.12.2

base_model: kakaocorp/kanana-1.5-2.1b-instruct-2505


load_in_8bit: false
load_in_4bit: false

datasets:
  - path: train.jsonl
    type: chat_template

dataset_prepared_path: preprocess
val_set_size: 0.01
output_dir: ./outputs
dataloader_num_workers: 56

adapter: 
lora_model_dir:

sequence_len: 16384
sample_packing: false
eval_sample_packing: false
pad_to_sequence_len: false

plugins:
  - axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_swiglu: true
liger_fused_linear_cross_entropy: true

wandb_project: fastcampus
wandb_entity: guijinson
wandb_watch:
wandb_name: fc-proj2-reasoning-2.1b
wandb_log_model:
hub_model_id: amphora/fc-reasoning-2.1b

gradient_accumulation_steps: 64
micro_batch_size: 2
num_epochs: 3
optimizer: adamw_torch_fused
lr_scheduler: cosine
learning_rate: 2e-5

bf16: auto
tf32: false

gradient_checkpointing:
resume_from_checkpoint:
logging_steps: 1
flash_attention: true

warmup_ratio: 0.05
weight_decay: 0.01
evals_per_epoch: 0
saves_per_epoch: 1

fc-reasoning-2.1b

This model is a fine-tuned version of kakaocorp/kanana-1.5-2.1b-instruct-2505 on the train.jsonl dataset.

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: 2e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 128
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 53
  • training_steps: 1072
Training results
Framework versions
  • Transformers 4.55.2
  • Pytorch 2.6.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.21.4

Runs of amphora fc-reasoning-2.1b on huggingface.co

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3-day runs
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More Information About fc-reasoning-2.1b huggingface.co Model

More fc-reasoning-2.1b license Visit here:

https://choosealicense.com/licenses/apache-2.0

fc-reasoning-2.1b huggingface.co

fc-reasoning-2.1b huggingface.co is an AI model on huggingface.co that provides fc-reasoning-2.1b's model effect (), which can be used instantly with this amphora fc-reasoning-2.1b model. huggingface.co supports a free trial of the fc-reasoning-2.1b model, and also provides paid use of the fc-reasoning-2.1b. Support call fc-reasoning-2.1b model through api, including Node.js, Python, http.

fc-reasoning-2.1b huggingface.co Url

https://huggingface.co/amphora/fc-reasoning-2.1b

amphora fc-reasoning-2.1b online free

fc-reasoning-2.1b huggingface.co is an online trial and call api platform, which integrates fc-reasoning-2.1b's modeling effects, including api services, and provides a free online trial of fc-reasoning-2.1b, you can try fc-reasoning-2.1b online for free by clicking the link below.

amphora fc-reasoning-2.1b online free url in huggingface.co:

https://huggingface.co/amphora/fc-reasoning-2.1b

fc-reasoning-2.1b install

fc-reasoning-2.1b is an open source model from GitHub that offers a free installation service, and any user can find fc-reasoning-2.1b on GitHub to install. At the same time, huggingface.co provides the effect of fc-reasoning-2.1b install, users can directly use fc-reasoning-2.1b installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

fc-reasoning-2.1b install url in huggingface.co:

https://huggingface.co/amphora/fc-reasoning-2.1b

Url of fc-reasoning-2.1b

fc-reasoning-2.1b huggingface.co Url

Provider of fc-reasoning-2.1b huggingface.co

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