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0000200_adapters.safetensors

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0000400_adapters.safetensors

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0000600_adapters.safetensors

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0000800_adapters.safetensors

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0001000_adapters.safetensors

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README.md

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+---
+base_model: mlx-community/Qwen2.5-Coder-32B-Instruct-4bit
+library_name: mlx
+tags: [mlx, lora, ocm, oci, go]
+---
+
+# ocm-coder
+
+LoRA adapters fine-tuned on the Open Component Model (OCM) and OCI specification ecosystem.
+
+**Base model:** [mlx-community/Qwen2.5-Coder-32B-Instruct-4bit](https://huggingface.co/mlx-community/Qwen2.5-Coder-32B-Instruct-4bit)
+
+## Usage
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load(
+    "mlx-community/Qwen2.5-Coder-32B-Instruct-4bit",
+    adapter_path="piotrjanik/ocm-coder",
+)
+```

adapter_config.json

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+{
+    "adapter_path": "output/adapters",
+    "batch_size": 4,
+    "config": "output/lora_train_config.yaml",
+    "data": "output/mlx_data",
+    "fine_tune_type": "lora",
+    "grad_accumulation_steps": 1,
+    "grad_checkpoint": false,
+    "iters": 1000,
+    "learning_rate": 1e-05,
+    "lora_parameters": {
+        "dropout": 0.0,
+        "rank": 8,
+        "scale": 10.0
+    },
+    "lr_schedule": null,
+    "mask_prompt": false,
+    "max_seq_length": 4096,
+    "model": "mlx-community/Qwen2.5-Coder-7B-Instruct-4bit",
+    "num_layers": 16,
+    "optimizer": "adam",
+    "optimizer_config": {
+        "adam": {},
+        "adamw": {},
+        "muon": {},
+        "sgd": {},
+        "adafactor": {}
+    },
+    "project_name": null,
+    "report_to": null,
+    "resume_adapter_file": null,
+    "save_every": 200,
+    "seed": 42,
+    "steps_per_eval": 200,
+    "steps_per_report": 10,
+    "test": false,
+    "test_batches": 500,
+    "train": true,
+    "val_batches": 25
+}

adapters.safetensors

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