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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,54 @@
+---
+library_name: transformers
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-30B-A3B/blob/main/LICENSE
+pipeline_tag: text-generation
+base_model: mlabonne/Qwen3-30B-A3B-abliterated
+---
+
+# usage with sglang
+
+Currently, upstream sglang doesn't load this quant correctly due to a few minor issues. Until upstream is fixed, a working fork is available at https://github.com/nytopop/sglang/tree/qwen-30b-a3b:
+
+```shell
+uv venv --python 3.12
+
+# vllm is needed to load w4a16 quant scheme
+uv pip install "vllm>=0.8.5"
+
+# use patched sglang from git
+uv pip install "git+https://github.com/nytopop/sglang.git@qwen-30b-a3b#subdirectory=python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python
+
+# run
+uv run python -m sglang.launch_server --model-path nytopop/Qwen3-30B-A3B-abliterated.w4a16 --reasoning-parser qwen3 --dtype float16
+```
+
+# creation
+
+```python
+from transformers import AutoModelForCausalLM
+from llmcompressor import oneshot
+from llmcompressor.modifiers.quantization import QuantizationModifier
+from llmcompressor.transformers.compression.helpers import calculate_offload_device_map
+
+model_id  = "mlabonne/Qwen3-30B-A3B-abliterated"
+model_out = model_id.split("/")[1] + ".w4a16"
+
+device_map = calculate_offload_device_map(
+    model_id, reserve_for_hessians=False, num_gpus=1, torch_dtype="bfloat16"
+)
+
+for k, v in device_map.items():
+  if v == 'disk':
+    device_map[k] = 'cpu'
+
+model = AutoModelForCausalLM.from_pretrained(
+  model_id,
+  device_map=device_map,
+  torch_dtype="bfloat16",
+)
+
+recipe = QuantizationModifier(targets="Linear", scheme="W4A16", ignore=["lm_head", "re:.*mlp.gate$"])
+
+oneshot(model=model, recipe=recipe, output_dir=model_out)
+```

added_tokens.json

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+}

config.json

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+{
+  "architectures": [
+    "Qwen3MoeForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "decoder_sparse_step": 1,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "max_position_embeddings": 40960,
+  "max_window_layers": 48,
+  "mlp_only_layers": [],
+  "model_type": "qwen3_moe",
+  "moe_intermediate_size": 768,
+  "norm_topk_prob": true,
+  "num_attention_heads": 32,
+  "num_experts": 128,
+  "num_experts_per_tok": 8,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 4,
+  "output_router_logits": false,
+  "quantization_config": {
+    "config_groups": {
+      "group_0": {
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+        "output_activations": null,
+        "targets": [
+          "Linear"
+        ],
+        "weights": {
+          "actorder": null,
+          "block_structure": null,
+          "dynamic": false,
+          "group_size": 128,
+          "num_bits": 4,
+          "observer": "minmax",
+          "observer_kwargs": {},
+          "strategy": "group",
+          "symmetric": true,
+          "type": "int"
+        }
+      }
+    },
+    "format": "pack-quantized",
+    "global_compression_ratio": null,
+    "ignore": [
+      "model.layers.0.mlp.gate",
+      "model.layers.1.mlp.gate",
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+      "lm_head"
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+    "kv_cache_scheme": null,
+    "quant_method": "compressed-tensors",
+    "quantization_status": "compressed"
+  },
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
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+  "do_sample": true,
+  "eos_token_id": [
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+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "4.51.3"
+}

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recipe.yaml

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+default_stage:
+  default_modifiers:
+    QuantizationModifier:
+      ignore: [lm_head, 're:.*mlp.gate$']
+      targets: [Linear]
+      scheme: W4A16

special_tokens_map.json

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tokenizer_config.json

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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}