Parameter	Value
Training Mode	SFT
Base Model	`nbeerbower/A2-Hemlock-Coder`
Learning Rate	0.0001
Epochs	1
Batch Size	1
Gradient Accumulation	32
Effective Batch Size	32
Max Sequence Length	2048
Optimizer	paged_adamw_8bit
LR Scheduler	cosine
Warmup Ratio	0.05
Weight Decay	0.01
Max Grad Norm	0.5
Seed	42
LoRA Rank (r)	64
LoRA Alpha	128
LoRA Dropout	0.05
Target Modules	up_proj, down_proj, gate_proj, k_proj, q_proj, v_proj, o_proj
Quantization	4-bit (NF4)
GPU	NVIDIA RTX A6000

Reproduce this training run

This model was trained with Merlina. Save the JSON below to data/configs/<name>.json (or import it via the Load Configuration dialog) to reproduce the exact training setup. Credentials are not included — Merlina will use your own HF_TOKEN and WANDB_API_KEY from .env or the form.

json

{
  "_metadata": {
    "name": "A2-Hemlock-Coder-Claude-opus-4.6-TraceInversion-9000x-SFT",
    "description": "Training configuration shared from a Merlina-trained model.",
    "tags": [],
    "schema": "merlina/training-config",
    "schema_version": 1,
    "merlina_version": "2.0.1"
  },
  "base_model": "nbeerbower/A2-Hemlock-Coder",
  "output_name": "A2-Hemlock-Coder-Claude-opus-4.6-TraceInversion-9000x-SFT",
  "use_lora": true,
  "lora_r": 64,
  "lora_alpha": 128,
  "lora_dropout": 0.05,
  "target_modules": [
    "up_proj",
    "down_proj",
    "gate_proj",
    "k_proj",
    "q_proj",
    "v_proj",
    "o_proj"
  ],
  "modules_to_save": [],
  "lora_task_type": "CAUSAL_LM",
  "learning_rate": 0.0001,
  "num_epochs": 1,
  "batch_size": 1,
  "gradient_accumulation_steps": 32,
  "max_length": 2048,
  "max_prompt_length": 1024,
  "model_type": "auto",
  "training_mode": "sft",
  "beta": 0.1,
  "label_smoothing": 0.0,
  "gamma": 0.5,
  "vision_model_id": null,
  "stage": null,
  "unfreeze_vision_top_n": null,
  "image_token_id": null,
  "min_pixels": null,
  "max_pixels": null,
  "image_column": null,
  "caption_column": null,
  "instruction": null,
  "streaming": null,
  "model_name": null,
  "image_resolution": 1024,
  "lora_rank": 32,
  "lora_target_modules": null,
  "dataset_jsonl_path": null,
  "dataset_name": null,
  "dataset_split": null,
  "sample_prompts": null,
  "sample_num_steps": null,
  "dataset": {
    "source": {
      "source_type": "huggingface",
      "repo_id": "Jackrong/Claude-opus-4.6-TraceInversion-9000x",
      "split": "train",
      "file_path": null,
      "file_format": null,
      "dataset_id": null,
      "streaming": false,
      "streaming_batch_size": 10000,
      "column_mapping": null
    },
    "additional_sources": [],
    "format": {
      "format_type": "tokenizer",
      "custom_templates": null,
      "enable_thinking": true
    },
    "model_name": "nbeerbower/A2-Hemlock-Coder",
    "column_mapping": {
      "input": "prompt",
      "output": "chosen",
      "reasoning_bubble": "reasoning"
    },
    "convert_messages_format": false,
    "deduplicate": false,
    "dedupe_strategy": "prompt_chosen",
    "test_size": 0.01,
    "max_samples": null,
    "system_prompt": null,
    "system_prompt_mode": "fill_empty",
    "training_mode": "sft"
  },
  "seed": 42,
  "max_grad_norm": 0.5,
  "warmup_ratio": 0.05,
  "eval_steps": 0.2,
  "use_4bit": true,
  "use_wandb": true,
  "push_to_hub": true,
  "merge_lora_before_upload": true,
  "hf_hub_private": true,
  "export_gguf": false,
  "gguf_quant_types": [
    "Q4_K_M"
  ],
  "keep_gguf_fp16": false,
  "shuffle_dataset": true,
  "weight_decay": 0.01,
  "lr_scheduler_type": "cosine",
  "gradient_checkpointing": true,
  "logging_steps": 1,
  "optimizer_type": "paged_adamw_8bit",
  "adam_beta1": 0.9,
  "adam_beta2": 0.999,
  "adam_epsilon": 1e-08,
  "adafactor_relative_step": false,
  "adafactor_scale_parameter": false,
  "adafactor_warmup_init": false,
  "adafactor_decay_rate": -0.8,
  "adafactor_beta1": null,
  "adafactor_clip_threshold": 1.0,
  "attn_implementation": "auto",
  "use_liger": true,
  "torch_compile": false,
  "neftune_alpha": null,
  "eval_on_start": true,
  "gpu_ids": null,
  "multi_gpu_strategy": "auto",
  "wandb_project": null,
  "wandb_run_name": null,
  "wandb_tags": null,
  "wandb_notes": null
}

Merlina on GitHub

nbeerbower/A2-Hemlock-Coder-Claude-opus-4.6-TraceInversion-9000x-SFT

A2-Hemlock-Coder-Claude-opus-4.6-TraceInversion-9000x-SFT

Training Configuration

Reproduce this training run

nbeerbower/
A2-Hemlock-Coder-Claude-opus-4.6-TraceInversion-9000x-SFT