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Model: SamsungSAILMontreal/Qwen3-30B-A3B-Instruct-2507-REAM Source: Original Platform
2026-05-09 12:27:44 +08:00
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--- a/README.md
+++ b/README.md
@@ -0,0 +1,86 @@
+---
+library_name: transformers
+tags:
+- compression
+- expert-merging
+- moe
+license: apache-2.0
+base_model:
+- Qwen/Qwen3-30B-A3B-Instruct-2507
+---
+
+arXiv: [REAM: Merging Improves Pruning of Experts in LLMs](https://arxiv.org/abs/2604.04356)
+
+# Qwen3-30B-A3B-Instruct-2507-REAM
+
+This model is a compressed version of [Qwen/Qwen3-30B-A3B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507). 
+It is obtained by reducing the number of experts in each MoE layer from 128 to 96.
+This reduction is achieved by the REAM method described in https://bknyaz.github.io/blog/2026/moe/.
+The compressed model has 23B params (44GB) instead of 31B (57GB) of the original model, 
+reducing storage and GPU memory requirements by roughly 25%. At the same time, 
+the model retains >=94% of the original model's performance on a variety of benchmarks (see Evaluation section below).
+Additional efficiency optimization (e.g., quantization) can be added similarly to the original model.
+
+## Model Details
+
+The model is exactly the same as Qwen/Qwen3-30B-A3B-Instruct-2507 except that number of experts is reduced from 128 to 96.
+
+## Evaluation
+
+Model is evaluated using https://github.com/EleutherAI/lm-evaluation-harness/ except for LiveCodeBench, which is evaluated using https://github.com/LiveCodeBench/LiveCodeBench.
+
+The following versions were used for eval:
+
+- python >= 3.10
+- torch               : 2.7.1+cu126
+- lm_eval             : 0.4.9.1
+- vllm                : 0.10.1.1
+- transformers        : 4.57.1
+- datasets            : 3.2.0
+- numpy               : 1.26.4
+
+For tasks IFEval, AIME25, GSM8K and HumanEval the following command was used for eval on 4xNVIDIA H100:
+`python -m lm_eval --model vllm --model_args pretrained=${model},tensor_parallel_size=4,dtype=auto,gpu_memory_utilization=0.9,data_parallel_size=1,max_model_len=131072 --tasks ${task} --batch_size 1 --apply_chat_template=True --confirm_run_unsafe_code`
+
+For HumanEval, we use `--task=humaneval_instruct`.
+
+For GPQA-Diamond, we add flags: `--num_fewshot 5 --fewshot_as_multiturn` and set `--task=gpqa_diamond_n_shot`.
+
+For LiveCodeBench, we evaluate using:
+`python -m lcb_runner.runner.main --model Qwen/Qwen3-30B-A3B-Instruct-2507 --scenario codegeneration --evaluate --local_model_path ${model} --release_version release_v6`
+
+For multi-choice question answering tasks (Winogrande, ARC-C, ARC-E, BoolQ, HellaSwag, MMLU, OpenBookQA, RTE), 
+we evaluate using lm_eval on a single GPU with a batch size equal 16.
+
+Other parameters are set to default.
+
+### Metrics
+
+We report the metric from the first row printed by lm_eval.
+
+For example, for IFEval, we report inst_level_loose_acc=0.8921 given the lm_eval's output:
+
+|Tasks |Version|Filter|n-shot|        Metric         |   |Value |   |Stderr|
+|------|------:|------|-----:|-----------------------|---|-----:|---|------|
+|ifeval|      4|none  |     0|inst_level_loose_acc   |↑  |0.8921|±  |   N/A|
+|      |       |none  |     0|inst_level_strict_acc  |↑  |0.8585|±  |   N/A|
+|      |       |none  |     0|prompt_level_loose_acc |↑  |0.8373|±  |0.0159|
+|      |       |none  |     0|prompt_level_strict_acc|↑  |0.7930|±  |0.0174|
+
+
+### Results
+
+| Model                            | Winogrande | ARC-C | ARC-E | BoolQ | HellaSwag | MMLU | OpenBookQA | RTE  | AVG  |
+|----------------------------------|------------|-------|-------|-------|-----------|------|------------|------|------|
+| Qwen3-30B-A3B-Instruct-2507      | 73.2       | 60.7  | 85.1  | 88.7  | 61.2      | 80.1 | 32.4       | 76.5 | 69.7 |
+| Qwen3-30B-A3B-Instruct-2507-REAM | 71.8       | 51.9  | 79.1  | 88.5  | 57.6      | 70.1 | 30.0       | 77.6 | 65.8 |
+
+
+| Model                            | IFeval | AIME25 | GSM8K | GPQA-D | HumanEval | LiveCodeBench | AVG   |
+|----------------------------------|--------|--------|-------|--------|-----------|---------------|-------|
+| Qwen3-30B-A3B-Instruct-2507      | 90.4   | 56.7   | 89.3  | 47.0   | 93.3      | 48.6          |  70.9 | 
+| Qwen3-30B-A3B-Instruct-2507-REAM | 89.2   | 66.7   | 88.1  | 38.9   | 86.6      | 36.9          |  67.7 |
+
+## License
+
+Please refer to the license of the original model [Qwen/Qwen3-30B-A3B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507).
--- a/added_tokens.json
+++ b/added_tokens.json
@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}
--- a/chat_template.jinja
+++ b/chat_template.jinja
@@ -0,0 +1,61 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,52 @@
+{
+  "architectures": [
+    "Qwen3MoeForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "decoder_sparse_step": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "max_position_embeddings": 262144,
+  "max_window_layers": 48,
+  "merge_args": {
+    "balance_group_size": 16,
+    "dataset": "c4+math+the-stack-smol",
+    "expert_saliency": "reap",
+    "gate_softmax": true,
+    "group": "freq_logits",
+    "merge": "align_logits_weights",
+    "merge_size": 96,
+    "merger_bs": 1024,
+    "merger_seq_len": 512,
+    "pca_dim": 64,
+    "precompute_input": false,
+    "use_gate_output": true
+  },
+  "mlp_only_layers": [],
+  "model_type": "qwen3_moe",
+  "moe_intermediate_size": 768,
+  "norm_topk_prob": true,
+  "num_attention_heads": 32,
+  "num_experts": 96,
+  "num_experts_per_tok": 8,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 4,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000000,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.57.0"
+}
--- a/merges.txt
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--- a/special_tokens_map.json
+++ b/special_tokens_map.json
@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
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+    "normalized": false,
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+    "single_word": false
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+}
--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,239 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 1010000,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}
--- a/vocab.json
+++ b/vocab.json