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Model: donghyunli/Meta-Llama-3-8B-KronQ-W3A16-g128-fake
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: meta-llama/Meta-Llama-3-8B
+language:
+- en
+license: llama3
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- kronq
+- quantization
+- group-quantization
+- fake-quant
+- fp16
+---
+
+# Meta-Llama-3-8B — KronQ W3A16 g128 (fake-quant fp16)
+
+**Paper:** [arXiv:2607.07964](https://arxiv.org/abs/2607.07964) · **Code:** [GitHub](https://github.com/Intelligent-Computing-Lab-Panda/KronQ)
+
+> ⚠️ **Fake-quant fp16 checkpoint.** 3-bit group-128 weights stored in **fp16** (KronQ does not pack int3) — **same size as bf16**, for PPL/accuracy reproduction. For deployable low-bit see the W4A16-g128 / W2A16-g128 (packed) repos.
+
+[Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) quantized to 3-bit weights (group 128) with **KronQ**, exported as a standard fp16 model.
+
+## Results (WikiText-2, seqlen 2048)
+
+**Perplexity:** **6.959**
+
+**Zero-shot accuracy:**
+
+| PIQA | ARC-E | ARC-C | HellaSwag | WinoGrande | BoolQ | OBQA | Average |
+|---|---|---|---|---|---|---|---|
+| 78.67 | 74.20 | 49.06 | 74.92 | 71.67 | 81.68 | 42.40 | **67.51** |
+
+(lm-evaluation-harness 0-shot.)
+
+## Usage
+
+Loads as a **standard fp16 model** (no KronQ code):
+
+```python
+from transformers import AutoModelForCausalLM
+m = AutoModelForCausalLM.from_pretrained("donghyunli/Meta-Llama-3-8B-KronQ-W3A16-g128-fake", torch_dtype="float16", device_map="auto")
+```
+
+## Recipe
+
+Group-128 asymmetric W3, weight-only, `--alpha 0.25`, `--act_order`, BiIP, raw H_G.
+
+## License
+
+Derivative of Meta-Llama-3-8B — [llama3 license](https://llama.meta.com/llama3/license/).

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
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+    "rstrip": false,
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+  }
+}

tokenizer.json

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