Initial upload of Qwen2.5-Math-7B-Instruct-AWQ-INT4

LICENSE

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NOTICE

@@ -0,0 +1,6 @@
+NOTICE
+
+This artifact is a derivative work of Qwen/Qwen2.5-Math-7B-Instruct, distributed under the Apache License, Version 2.0.
+The full license text is in the LICENSE file at the root of this repository.
+
+Source model: https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct

README.md

@@ -1,45 +1,57 @@
 ---
 license: apache-2.0
+license_link: https://www.apache.org/licenses/LICENSE-2.0
 base_model: Qwen/Qwen2.5-Math-7B-Instruct
 tags:
   - quantized
   - 4-bit
   - int4
-  - qwen2.5
-  - math
+  - awq
 language:
   - en
+library_name: transformers
 pipeline_tag: text-generation
 ---
 
 # Qwen2.5-Math-7B-Instruct-AWQ-INT4
 
-INT4 quantization of [`Qwen/Qwen2.5-Math-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct). Math-specialized 7B model, runs on a single 8 GB+ consumer GPU.
+INT4 weight-only quantization of [`Qwen/Qwen2.5-Math-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct).
 
-## Footprint
+Qwen 2.5 Math 7B-Instruct in INT4. About 5 GB on disk. Runs on an 8 GB consumer GPU.
 
-| | |
+| Property | Value |
 |---|---|
-| Source params | 7B (math-specialized) |
-| Quantized weights | ~5.2 GB on disk |
-| Inference VRAM (incl. KV cache @ 32K context) | ~10 GB |
+| Base model | [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct) |
+| Quantization | INT4 weight-only |
+| Approx. on-disk size | ~5.6 GB |
+| License | Apache License, Version 2.0 |
+| Languages | English |
 
-## Quick start
+## Load (vLLM)
 
 ```bash
-vllm serve drawais/Qwen2.5-Math-7B-Instruct-AWQ-INT4 --quantization awq_marlin --max-model-len 32768
+vllm serve drawais/Qwen2.5-Math-7B-Instruct-AWQ-INT4 \
+  --max-model-len 32768 \
+  --gpu-memory-utilization 0.94
 ```
 
 ```python
-from transformers import AutoTokenizer, AutoModelForCausalLM
-tok = AutoTokenizer.from_pretrained("drawais/Qwen2.5-Math-7B-Instruct-AWQ-INT4")
-model = AutoModelForCausalLM.from_pretrained("drawais/Qwen2.5-Math-7B-Instruct-AWQ-INT4", device_map="auto")
+from vllm import LLM, SamplingParams
+llm = LLM(model="drawais/Qwen2.5-Math-7B-Instruct-AWQ-INT4", max_model_len=32768)
+print(llm.generate(["Hello!"], SamplingParams(max_tokens=128))[0].outputs[0].text)
 ```
 
-## Bench
+## Footprint
+
+~5.6 GB on disk. Recommended VRAM: enough headroom for KV cache.
+
+## License & attribution
 
-Leaderboard score on [`drawais/needle-1M-bench-mvp`](https://huggingface.co/datasets/drawais/needle-1M-bench-mvp) coming after upload.
+This artifact is a derivative work of [`Qwen/Qwen2.5-Math-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct),
+released by its original authors under the **Apache License, Version 2.0**.
 
-## License
+This artifact is distributed under the same license. The full license text is
+included in [`LICENSE`](LICENSE), and required attribution is in [`NOTICE`](NOTICE).
 
-Apache 2.0 (inherits from base model).
+License text: https://www.apache.org/licenses/LICENSE-2.0
+Source model: https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct

config.json

@@ -48,12 +48,41 @@
   "num_key_value_heads": 4,
   "pad_token_id": null,
   "quantization_config": {
-    "bits": 4,
-    "group_size": 128,
-    "modules_to_not_convert": null,
-    "quant_method": "awq",
-    "version": "gemm",
-    "zero_point": true
+    "config_groups": {
+      "group_0": {
+        "format": "pack-quantized",
+        "input_activations": null,
+        "output_activations": null,
+        "targets": [
+          "Linear"
+        ],
+        "weights": {
+          "actorder": null,
+          "block_structure": null,
+          "dynamic": false,
+          "group_size": 128,
+          "num_bits": 4,
+          "observer": "memoryless_minmax",
+          "observer_kwargs": {},
+          "scale_dtype": null,
+          "strategy": "group",
+          "symmetric": true,
+          "type": "int",
+          "zp_dtype": null
+        }
+      }
+    },
+    "format": "pack-quantized",
+    "global_compression_ratio": null,
+    "ignore": [
+      "lm_head"
+    ],
+    "kv_cache_scheme": null,
+    "quant_method": "compressed-tensors",
+    "quantization_status": "compressed",
+    "sparsity_config": {},
+    "transform_config": {},
+    "version": "0.15.1.a20260428"
   },
   "rms_norm_eps": 1e-06,
   "rope_parameters": {
@@ -62,8 +91,8 @@
   },
   "sliding_window": null,
   "tie_word_embeddings": false,
-  "transformers_version": "5.6.2",
-  "use_cache": false,
+  "transformers_version": "5.8.0.dev0",
+  "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 152064
-}
+}

generation_config.json

@@ -1,10 +1,10 @@
 {
   "bos_token_id": 151643,
-  "do_sample": true,
+  "do_sample": false,
   "eos_token_id": [
     151645,
     151643
   ],
   "pad_token_id": 151643,
-  "transformers_version": "5.6.2"
+  "transformers_version": "5.8.0.dev0"
 }

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b8f72874477a9319bc7bc805fa0c5c8fa795ee810e5e852495fe782a1f3279f4
+size 5545344064

recipe.yaml

@@ -0,0 +1,23 @@
+default_stage:
+  default_modifiers:
+    AWQModifier:
+      mappings:
+      - smooth_layer: re:.*input_layernorm$
+        balance_layers: ['re:.*q_proj$', 're:.*k_proj$', 're:.*v_proj$']
+        activation_hook_target: null
+      - smooth_layer: re:.*v_proj$
+        balance_layers: ['re:.*o_proj$']
+        activation_hook_target: null
+      - smooth_layer: re:.*post_attention_layernorm$
+        balance_layers: ['re:.*gate_proj$', 're:.*up_proj$']
+        activation_hook_target: null
+      - smooth_layer: re:.*up_proj$
+        balance_layers: ['re:.*down_proj$']
+        activation_hook_target: null
+      duo_scaling: true
+      n_grid: 20
+    QuantizationModifier:
+      targets: [Linear]
+      ignore: [lm_head, 're:.*embed.*', 're:.*router.*', 're:.*\.gate$']
+      scheme: W4A16
+      bypass_divisibility_checks: false

tokenizer.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
-size 11421892
+oid sha256:2f55e63353d3d978b390d346bae531be8b83bc9532c0be500d62b7253aa4c595
+size 11421991