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nbeerbower/A2-Hemlock-Coder-Claude-opus-4.6-TraceInversion-9000x-SFT
A2-Hemlock-Coder-Claude-opus-4.6-TraceInversion-9000x-SFT is a text generation model from nbeerbower. Use it when you need the model to write or continue text. It is set up for transformers.
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 u…
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From the Hugging Face model README
| 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 |
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.
{
"_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
}
