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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 +1,213 @@
+---
+pipeline_tag: text-generation
+inference: false
+license: apache-2.0
+library_name: transformers
+tags:
+- language
+- aquif
+- text-generation-inference
+- reasoning
+- math
+- coding
+- frontier
+- aquif-3.5
+- moe
+language:
+- en
+- de
+- it
+- pt
+- fr
+- hi
+- es
+- th
+- zh
+- ja
+base_model: aquif-ai/aquif-3.5-Max-42B-A3B
+---
+# aquif-3.5-Max-42B-A3B AWQ - INT4
+
+## Model Details
+
+- **Quantization Method:** AWQ
+- **Bits:** 4
+- **Group Size:** 32
+- **Calibration Dataset:** [nvidia/Llama-Nemotron-Post-Training-Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset)
+- **Quantization Tool:** [llm-compressor](https://github.com/vllm-project/llm-compressor)
+
+## Inference
+
+### Prerequisite
+
+```bash
+pip install -U vllm
+```
+
+### Basic Usage
+
+```bash
+vllm serve cyankiwi/aquif-3.5-Max-42B-A3B-AWQ-4bit
+```
+
+## Additional Information
+
+### Changelog
+
+- **v1.0.0** - Initial quantized release
+
+### Authors
+
+- **Name:** Ton Cao
+- **Contacts:** [email protected]
+
+# aquif-3.5-Plus & aquif-3.5-Max
+
+The pinnacle of the aquif-3.5 series, released November 3rd, 2025. These models bring advanced reasoning capabilities and unprecedented context windows to achieve state-of-the-art performance for their respective categories.
+
+**aquif-3.5-Plus** combines hybrid reasoning with interchangeable thinking modes, offering flexibility for both speed-optimized and reasoning-intensive applications.
+
+**aquif-3.5-Max** represents frontier model capabilities with reasoning-only architecture, delivering exceptional performance across all benchmark categories.
+
+## Model Repository Links
+
+| Model | HuggingFace Repository |
+|-------|----------------------|
+| aquif-3.5-Plus | [aquiffoo/aquif-3.5-Plus](https://huggingface.co/aquiffoo/aquif-3.5-Plus) |
+| aquif-3.5-Max | [aquiffoo/aquif-3.5-Max](https://huggingface.co/aquiffoo/aquif-3.5-Max) |
+
+## Model Overview
+
+| Model | Total (B) | Active Params (B) | Reasoning | Context Window | Thinking Modes |
+|-------|-----------|-------------------|-----------|-----------------|----------------|
+| aquif-3.5-Plus | 30.5 | 3.3 | ✅ Hybrid | 1M | ✅ Interchangeable |
+| aquif-3.5-Max | 42.4 | 3.3 | ✅ Reasoning-Only | 1M | Reasoning-Only |
+
+## Model Details
+
+### aquif-3.5-Plus (Hybrid Reasoning with Interchangeable Modes)
+
+A breakthrough hybrid reasoning model offering unprecedented flexibility. Toggle between thinking and non-thinking modes to optimize for your specific use case—maintain reasoning capabilities when needed, or prioritize speed for time-sensitive applications.
+
+## Artificial Analysis Intelligence Index (AAII) Benchmarks
+
+### Core Performance Metrics
+
+| Benchmark | aquif-3.5-Plus (Non-Reasoning) | aquif-3.5-Plus (Reasoning) | aquif-3.5-Max |
+|-----------|--------------------------------|----------------------------|----------------|
+| MMLU-Pro | 80.2 | 82.8 | 85.4 |
+| GPQA Diamond | 72.1 | 79.7 | 83.2 |
+| AIME 2025 | 64.7 | 90.3 | 94.6 |
+| LiveCodeBench | 50.5 | 76.4 | 81.6 |
+| Humanity's Last Exam | 4.3 | 12.1 | 15.6 |
+| TAU2-Telecom | 34.2 | 41.5 | 51.3 |
+| IFBench | 39.3 | 54.3 | 65.4 |
+| TerminalBench-Hard | 10.1 | 15.2 | 23.9 |
+| AA-LCR | 30.4 | 59.9 | 61.2 |
+| SciCode | 29.5 | 35.7 | 40.9 |
+| **AAII Composite Score** | **42 (41.53)** | **55 (54.79)** | **60 (60.31)** |
+
+### Comparable Models by Configuration
+
+**aquif-3.5-Plus (Non-Reasoning) — AAII 42**
+
+| Model | AAII Score |
+|-------|-----------|
+| GPT-5 mini | 42 |
+| Claude Haiku 4.5 | 42 |
+| Gemini 2.5 Flash Lite 2509 | 42 |
+| **aquif-3.5-Plus (Non-Reasoning)** | **42** |
+| DeepSeek V3 0324 | 41 |
+| Qwen3 VL 32B Instruct | 41 |
+| Qwen3 Coder 480B A35B | 42 |
+
+**aquif-3.5-Plus (Reasoning) — AAII 55**
+
+| Model | AAII Score |
+|-------|-----------|
+| GLM-4.6 | 56 |
+| Gemini 2.5 Flash 2509 | 54 |
+| Claude Haiku 4.5 | 55 |
+| **aquif-3.5-Plus (Reasoning)** | **55** |
+| Qwen3 Next 80B A3B | 54 |
+
+**aquif-3.5-Max — AAII 60**
+
+| Model | AAII Score |
+|-------|-----------|
+| Gemini 2.5 Pro | 60 |
+| Grok 4 Fast | 60 |
+| **aquif-3.5-Max** | **60** |
+| MiniMax-M2 | 61 |
+| gpt-oss-120B high | 61 |
+| GPT-5 mini | 61 |
+| DeepSeek-V3.1-Terminus | 58 |
+| Claude Opus 4.1 | 59 |
+
+## Key Features
+
+**Massive Context Windows**: Both models support up to 1M tokens, enabling analysis of entire codebases, research papers, and extensive conversation histories without truncation.
+
+**Efficient Architecture**: Despite offering frontier-level performance, both models maintain exceptional efficiency through optimized mixture-of-experts design and active parameter count of just 3.3B.
+
+**Flexible Reasoning (Plus Only)**: aquif-3.5-Plus provides interchangeable thinking modes—enable reasoning for complex problems, disable for faster inference on straightforward tasks.
+
+**Multilingual Support**: Native support across English, German, Italian, Portuguese, French, Hindi, Spanish, Thai, Chinese, and Japanese.
+
+## Usage Recommendations
+
+**aquif-3.5-Plus:**
+- Complex reasoning requiring flexibility between speed and depth
+- Scientific analysis and mathematical problem-solving with thinking enabled
+- Rapid-response applications with thinking disabled
+- Code generation and review
+- Multilingual applications up to 1M token contexts
+
+**aquif-3.5-Max:**
+- Frontier-level problem-solving without compromise
+- Advanced research and scientific computing
+- Competition mathematics and algorithmic challenges
+- Comprehensive code analysis and generation
+- Complex multilingual tasks requiring maximum reasoning capability
+
+## Setting Thinking Mode (aquif-3.5-Plus)
+
+Toggle between thinking and non-thinking modes by modifying the chat template:
+
+```
+set thinking = true    # Enable reasoning mode
+set thinking = false   # Disable thinking mode (faster inference)
+```
+
+Simply set the variable in your chat template before inference to switch modes. No model reloading required.
+
+## Technical Specifications
+
+Both models support:
+- BF16 and FP16 precision
+- Mixture of Experts architecture optimizations
+- Efficient attention mechanisms with optimized KV caching
+- Up to 1M token context window
+- Multi-head attention with sparse routing
+
+## Performance Highlights
+
+**aquif-3.5-Plus** achieves 82.3% average benchmark performance in thinking mode, surpassing models with 2-4x more total parameters. Non-thinking mode maintains competitive 66.9% performance for latency-sensitive applications.
+
+**aquif-3.5-Max** reaches 86.2% average performance, matching or exceeding frontier models while maintaining 42.4B total parameters—an extraordinary efficiency breakthrough.
+
+## Acknowledgements
+
+- **Qwen Team**: Base architecture contributions
+- **Meta Llama Team**: Core model foundations
+- **Hugging Face**: Model hosting and training infrastructure
+
+## License
+
+This project is released under the Apache 2.0 License. See LICENSE file for details.
+
+---
+
+*Made in 🇧🇷*
+
+© 2025 aquif AI. All rights reserved.

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
+}

chat_template.jinja

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+{%- if not thinking is defined %}{% set thinking = false %}{% endif %}
+{%- 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 %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- 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" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {%- if thinking %}
+                    {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+                {%- else %}
+                    {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+                {%- endif %}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- 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 %}
+    {%- if thinking %}
+        {{- '<|im_start|>assistant\n<think>\n' }}
+    {%- else %}
+        {{- '<|im_start|>assistant\n' }}
+    {%- endif %}
+{%- endif %}

config.json

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+{
+  "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": 1010000,
+  "max_window_layers": 67,
+  "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": 67,
+  "num_key_value_heads": 4,
+  "output_router_logits": false,
+  "quantization_config": {
+    "config_groups": {
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+        "format": "pack-quantized",
+        "input_activations": null,
+        "output_activations": null,
+        "targets": [
+          "Linear"
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+        "weights": {
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+          "block_structure": null,
+          "dynamic": false,
+          "group_size": 32,
+          "num_bits": 4,
+          "observer": "mse",
+          "observer_kwargs": {},
+          "strategy": "group",
+          "symmetric": true,
+          "type": "int"
+        }
+      }
+    },
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+  "vocab_size": 151669
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "transformers_version": "4.57.0"
+}

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recipe.yaml

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+default_stage:
+  default_modifiers:
+    AWQModifier:
+      config_groups:
+        group_0:
+          targets: [Linear]
+          weights:
+            num_bits: 4
+            type: int
+            symmetric: true
+            group_size: 32
+            strategy: group
+            block_structure: null
+            dynamic: false
+            actorder: null
+            observer: mse
+            observer_kwargs: {}
+          input_activations: null
+          output_activations: null
+          format: null
+      targets: [Linear]
+      ignore: [model.embed_tokens, 're:.*input_layernorm$', 're:.*mlp[.]gate$', 're:.*post_attention_layernorm$',
+        model.norm, lm_head]
+      mappings:
+      - smooth_layer: re:.*input_layernorm$
+        balance_layers: ['re:.*q_proj$', 're:.*k_proj$', 're:.*v_proj$']
+      - smooth_layer: re:.*v_proj$
+        balance_layers: ['re:.*o_proj$']
+      - smooth_layer: re:.*post_attention_layernorm$
+        balance_layers: ['re:.*mlp.experts.*.gate_proj$', 're:.*mlp.experts.*.up_proj$']
+      - smooth_layer: re:.*up_proj$
+        balance_layers: ['re:.*down_proj$']
+      offload_device: !!python/object/apply:torch.device [cpu]
+      duo_scaling: true

special_tokens_map.json

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+{
+  "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|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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tokenizer_config.json

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+{
+  "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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