Gemma-3-Earthen-v0.1-4B

Gemma-3-Earthen-v0.1-4B

PJMixers-Dev/Gemma-3-Earthen-Completion-v0.1-4B was trained at 8K with batch size 4 gradient accumulation 2, so each step was 65,536 tokens (including any padding tokens). It was trained for 150 steps, adding up to a total of 9,830,400 unique tokens seen.

This is a small test run. A larger version is planned.

Quants

• GGUF from mradermacher

Prompt Format

This model uses Gemma-3 Instruct format, but with system turn support.

Training Details

<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>

# Requirements before running
#   - Get latest commit of axolotl (currently c0a0c75)
#   - Download these to axolotl/src/axolotl/prompt_formatters
#     - https://github.com/xzuyn/axolotl/blob/came-plus-formatters/src/axolotl/prompt_strategies/formatter_regex.py
#     - https://github.com/xzuyn/axolotl/blob/came-plus-formatters/src/axolotl/prompt_strategies/customgemma3-regex.py
#   - pip install ftfy
#   - pip install git+https://github.com/xzuyn/CAME.git@sr-grams-cautious-8bit

# Weights and Biases logging config
wandb_project: Gemma-3-4B
wandb_entity:
wandb_watch:
wandb_name: Gemma-3-Earthen-v0.1-4B-QLoRA-run1
wandb_log_model:

# Model checkpointing config
output_dir: ./Outputs/Gemma-3-Earthen-v0.1-4B-QLoRA-run1
save_steps: 10
save_safetensors: true
save_total_limit: 2
save_only_model: true

# Model architecture config
base_model: PJMixers-Dev/Gemma-3-Earthen-Completion-v0.1-4B
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

# Mixed precision training config
bf16: true
fp16: false
tf32: false

# Model loading config
load_in_8bit: false
load_in_4bit: true
strict: false

# Sequence config
sequence_len: 8192
min_sample_len: 512
sample_packing: true
eval_sample_packing: true
pad_to_sequence_len: true
train_on_inputs: false
group_by_length: false

# LoRA adapter config
adapter: qlora
lora_model_dir:
lora_r: 256
lora_alpha: 256
lora_dropout: 0.125
lora_target_modules: 'language_model.model.layers.[\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'
embeddings_skip_upcast: true

# Dataset config
datasets:
# Gemma-3 Instruct
  # Instruction Data
  - path: PJMixers-Dev/allenai_tulu-3-sft-mixture-filtered-2-ShareGPT
    type: customgemma3-regex
  - path: OpenLeecher/lmsys_chat_1m_clean
    type: customgemma3-regex
  - path: PJMixers-Dev/Gryphe_Sonnet3.5-SlimOrcaDedupCleaned-20k-ShareGPT
    type: customgemma3-regex
  - path: jeffmeloy/sonnet3.5_science_conversations
    type: customgemma3-regex
  - path: PJMixers/grimulkan_theory-of-mind-ShareGPT
    type: customgemma3-regex
  - path: PJMixers/grimulkan_physical-reasoning-ShareGPT
    type: customgemma3-regex
  - path: TheDrummer/AmoralQA-v2
    type: customgemma3-regex
  - path: BeaverAI/REDACTED1
    type: customgemma3-regex
  - path: BeaverAI/REDACTED2
    type: customgemma3-regex
  - path: PJMixers/coedit-reworded-deduped-multiturn-sharegpt
    type: customgemma3-regex
  - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
    type: customgemma3-regex
  - path: PJMixers/Anthropic_persuasion-ShareGPT
    type: customgemma3-regex
  - path: PJMixers/Math-Multiturn-1K-ShareGPT
    type: customgemma3-regex
  - path: PJMixers/AP-News-2024-CGPT-Summarize-ShareGPT
    type: customgemma3-regex
  - path: PJMixers-Dev/allenai_WildChat-1M-gemini-exp-1206-ShareGPT
    type: customgemma3-regex
  - path: PJMixers-Dev/allenai_WildChat-1M-gemini-2.0-flash-exp-ShareGPT
    type: customgemma3-regex
  - path: PJMixers-Dev/WizardLMTeam_WizardLM_evol_instruct_70k-gemini-2.0-flash-exp-ShareGPT
    type: customgemma3-regex
  - path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
    type: customgemma3-regex
  - path: PocketDoc/Dans-Toolmaxx-Functions-ToolACE
    type: customgemma3-regex
  - path: PocketDoc/Dans-Codemaxx-LeetCode
    type: customgemma3-regex
  - path: PocketDoc/Dans-Codemaxx-CodeFeedback-SingleTurn
    type: customgemma3-regex
  # RP Data
  - path: PJMixers-Dev/Gryphe-Aesir-RPG-Charcards-Opus-Mixed
    type: customgemma3-regex
  - path: allura-org/gryphe-sonnet-3.5-charcards-names-added
    type: customgemma3-regex
  - path: anthracite-org/c2_logs_32k_llama3_qwen2_v1.3
    type: customgemma3-regex
  - path: BeaverAI/REDACTED3
    type: customgemma3-regex
  - path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon
    type: customgemma3-regex
  - path: PJMixers-Dev/lemonilia_LimaRP-Simple-CustomShareGPT-Shuffled
    type: customgemma3-regex
  - path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
    type: customgemma3-regex
  - path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT
    type: customgemma3-regex
  - path: PJMixers/OpenLeecher_Teatime_all_logs_longest-ShareGPT
    type: customgemma3-regex
  - path: grimulkan/aicg-logs-augmented
    type: customgemma3-regex
  - path: grimulkan/PIPPA-augmented-dedup
    type: customgemma3-regex
  - path: PJMixers/grimulkan_bluemoon_Karen_cleaned-carded-formatted
    type: customgemma3-regex
  # InstStory Data
  - path: PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
    type: customgemma3-regex
  - path: Gryphe/ChatGPT-4o-Writing-Prompts
    type: customgemma3-regex
  - path: Gryphe/Opus-WritingPrompts
    type: customgemma3-regex
  - path: anthracite-org/nopm_claude_writing_fixed
    type: customgemma3-regex
  - path: PJMixers-Dev/Tiefighter-13B-Fake-Distill-ShareGPT
    type: customgemma3-regex
  - path: allura-org/fujin-instruct-v2
    type: customgemma3-regex
  # Adventure Data
  - path: PocketDoc/Dans-Prosemaxx-Adventure
    type: customgemma3-regex
  - path: PocketDoc/Dans-Failuremaxx-Adventure-3
    type: customgemma3-regex
test_datasets:
val_set_size: 128
eval_strategy: steps
eval_steps: 10
dataset_prepared_path: ./00-Tokenized-Datasets/Gemma-3-Earthen-v0.1-4B-LoRA-seed42
shuffle_merged_datasets: true
dataset_processes:

# Training hyperparameters
num_epochs: 1
gradient_accumulation_steps: 2
micro_batch_size: 4
eval_batch_size: 4
warmup_steps: 0
optimizer: came_pytorch
optim_args:
  enable_stochastic_rounding: true
  enable_cautious: true
  enable_8bit: true
lr_scheduler: rex
learning_rate: 5e-7
cosine_min_lr_ratio: 0.05
weight_decay: 0.01
max_grad_norm: 0.5
logging_steps: 1

# Model optimization
gradient_checkpointing: offload
sdp_attention: true
plugins:
  - axolotl.integrations.liger.LigerPlugin
  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
cut_cross_entropy: true
liger_rope: true
liger_rms_norm: true
liger_layer_norm: true
liger_glu_activation: true
liger_cross_entropy: false
liger_fused_linear_cross_entropy: false
lora_mlp_kernel: false
lora_qkv_kernel: false
lora_o_kernel: false

# DeepSpeed
deepspeed:

# Garbage Collection
gc_steps:

# Debug config
debug: true
seed: 42

# Token config
special_tokens:
  bos_token: "<bos>"
  eos_token: "<end_of_turn>"
  pad_token: "<pad>"
tokens:

Citations

<details><summary>Show Citations</summary>

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</details>