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chore: import upstream snapshot with attribution

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wehub-resource-sync
2026-07-13 12:28:55 +08:00
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models/alibaba/qwen-flash.toml
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name = "Qwen Flash"
description = "Efficient Qwen model for fast chat, extraction, and high-volume workloads"
family = "qwen"
release_date = "2025-07-28"
last_updated = "2025-07-28"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2024-04"
open_weights = false
[limit]
context = 1_000_000
output = 32_768
[modalities]
input = ["text"]
output = ["text"]
models/alibaba/qwen-max.toml
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name = "Qwen Max"
description = "Flagship Qwen model for complex reasoning, coding, and agentic workflows"
family = "qwen"
release_date = "2024-04-03"
last_updated = "2025-01-25"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2024-04"
open_weights = false
[limit]
context = 32_768
output = 8_192
[modalities]
input = ["text"]
output = ["text"]
[[benchmarks]]
name = "Aider Polyglot"
score = 21.8
metric = "percent correct"
source = "https://aider.chat/docs/leaderboards/"
date = "2025-01-28"
models/alibaba/qwen-omni-turbo.toml
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name = "Qwen-Omni Turbo"
description = "Qwen omni model for text, vision, audio, and multimodal agent tasks"
family = "qwen"
release_date = "2025-01-19"
last_updated = "2025-03-26"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2024-04"
open_weights = false
[limit]
context = 32_768
output = 2_048
[modalities]
input = ["text", "image", "audio", "video"]
output = ["text", "audio"]
models/alibaba/qwen-plus.toml
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name = "Qwen Plus"
description = "Qwen instruction model for multilingual chat, reasoning, and tool use"
family = "qwen"
release_date = "2024-01-25"
last_updated = "2025-09-11"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2024-04"
open_weights = false
[limit]
context = 1_000_000
output = 32_768
[modalities]
input = ["text"]
output = ["text"]
models/alibaba/qwen-turbo.toml
+19
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name = "Qwen Turbo"
description = "Efficient Qwen model for fast chat, extraction, and high-volume workloads"
family = "qwen"
release_date = "2024-11-01"
last_updated = "2025-04-28"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2024-04"
open_weights = false
[limit]
context = 1_000_000
output = 16_384
[modalities]
input = ["text"]
output = ["text"]
models/alibaba/qwen-vl-max.toml
+19
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name = "Qwen-VL Max"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen"
release_date = "2024-04-08"
last_updated = "2025-08-13"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2024-04"
open_weights = false
[limit]
context = 131_072
output = 8_192
[modalities]
input = ["text", "image"]
output = ["text"]
models/alibaba/qwen-vl-plus.toml
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name = "Qwen-VL Plus"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen"
release_date = "2024-01-25"
last_updated = "2025-08-15"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2024-04"
open_weights = false
[limit]
context = 131_072
output = 8_192
[modalities]
input = ["text", "image"]
output = ["text"]
models/alibaba/qwen2-5-vl-72b-instruct.toml
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name = "Qwen2.5-VL 72B Instruct"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen"
release_date = "2024-09"
last_updated = "2024-09"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2024-04"
open_weights = true
[limit]
context = 131_072
output = 8_192
[modalities]
input = ["text", "image"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct"
models/alibaba/qwen3-235b-a22b.toml
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name = "Qwen3 235B-A22B"
description = "Large open Qwen MoE for multilingual reasoning, coding, and tool use"
family = "qwen"
release_date = "2025-04"
last_updated = "2025-04"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = true
[limit]
context = 131_072
output = 16_384
[modalities]
input = ["text"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3-235B-A22B"
[[benchmarks]]
name = "Aider Polyglot"
score = 59.6
metric = "percent correct"
source = "https://aider.chat/docs/leaderboards/"
date = "2025-05-09"
[[benchmarks]]
name = "SWE-Bench Pro"
score = 21.41
metric = "resolve rate"
dataset = "public"
source = "https://labs.scale.com/leaderboard/swe_bench_pro_public"
models/alibaba/qwen3-32b.toml
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name = "Qwen3 32B"
description = "Dense open Qwen model for self-hosted chat, reasoning, and coding"
family = "qwen"
release_date = "2025-04"
last_updated = "2025-04"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = true
[limit]
context = 131_072
output = 16_384
[modalities]
input = ["text"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3-32B"
[[benchmarks]]
name = "Aider Polyglot"
score = 40.0
metric = "percent correct"
source = "https://aider.chat/docs/leaderboards/"
date = "2025-05-08"
models/alibaba/qwen3-coder-30b-a3b-instruct.toml
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name = "Qwen3-Coder 30B-A3B Instruct"
description = "Smaller Qwen coder for efficient local agents and repo-level fixes"
family = "qwen"
release_date = "2025-04"
last_updated = "2025-04"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = true
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct"
[[benchmarks]]
name = "Artificial Analysis Coding Index"
score = 19.4
metric = "index"
source = "https://openrouter.ai/qwen/qwen3-coder-30b-a3b-instruct/benchmarks"
date = "2026-06-02"
[[benchmarks]]
name = "SciCode"
score = 27.8
metric = "percent correct"
source = "https://openrouter.ai/qwen/qwen3-coder-30b-a3b-instruct/benchmarks"
date = "2026-06-02"
[[benchmarks]]
name = "Terminal-Bench Hard"
score = 15.2
metric = "success rate"
source = "https://openrouter.ai/qwen/qwen3-coder-30b-a3b-instruct/benchmarks"
date = "2026-06-02"
models/alibaba/qwen3-coder-480b-a35b-instruct.toml
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name = "Qwen3-Coder 480B-A35B Instruct"
description = "Open Qwen coding heavyweight for repository reasoning and agentic engineering"
family = "qwen"
release_date = "2025-04"
last_updated = "2025-04"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = true
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct"
[[benchmarks]]
name = "SWE-Bench Pro"
score = 38.7
metric = "resolve rate"
dataset = "public"
source = "https://labs.scale.com/leaderboard/swe_bench_pro_public"
models/alibaba/qwen3-coder-flash.toml
+19
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name = "Qwen3 Coder Flash"
description = "Qwen coding model for software agents, repository edits, and code reasoning"
family = "qwen"
release_date = "2025-07-28"
last_updated = "2025-07-28"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = false
[limit]
context = 1_000_000
output = 65_536
[modalities]
input = ["text"]
output = ["text"]
models/alibaba/qwen3-coder-plus.toml
+19
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@@ -0,0 +1,19 @@
name = "Qwen3 Coder Plus"
description = "Hosted Qwen coder for software agents, repo edits, and long-context code"
family = "qwen"
release_date = "2025-07-23"
last_updated = "2025-07-23"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = false
[limit]
context = 1_048_576
output = 65_536
[modalities]
input = ["text"]
output = ["text"]
models/alibaba/qwen3-max.toml
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name = "Qwen3 Max"
description = "Flagship Qwen3 model for coding agents, complex reasoning, and tool use"
family = "qwen"
release_date = "2025-09-23"
last_updated = "2025-09-23"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = false
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text"]
output = ["text"]
[[benchmarks]]
name = "Artificial Analysis Coding Index"
score = 26.4
metric = "index"
source = "https://openrouter.ai/qwen/qwen3-max/benchmarks"
date = "2026-05-30"
[[benchmarks]]
name = "SciCode"
score = 38.3
metric = "percent correct"
source = "https://openrouter.ai/qwen/qwen3-max/benchmarks"
date = "2026-05-30"
[[benchmarks]]
name = "Terminal-Bench Hard"
score = 20.5
metric = "success rate"
source = "https://openrouter.ai/qwen/qwen3-max/benchmarks"
date = "2026-05-30"
models/alibaba/qwen3-next-80b-a3b-instruct.toml
+23
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name = "Qwen3-Next 80B-A3B Instruct"
description = "Qwen instruction model for multilingual chat, reasoning, and tool use"
family = "qwen"
release_date = "2025-09"
last_updated = "2025-09"
attachment = false
reasoning = false
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = true
[limit]
context = 131_072
output = 32_768
[modalities]
input = ["text"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct"
models/alibaba/qwen3-next-80b-a3b-thinking.toml
+23
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name = "Qwen3-Next 80B-A3B (Thinking)"
description = "Efficient Qwen thinking model for local reasoning, math, and coding agents"
family = "qwen"
release_date = "2025-09"
last_updated = "2025-09"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = true
[limit]
context = 131_072
output = 32_768
[modalities]
input = ["text"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking"
models/alibaba/qwen3-vl-plus.toml
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name = "Qwen3-VL Plus"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen"
release_date = "2025-09-23"
last_updated = "2025-09-23"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = false
[limit]
context = 262_144
output = 32_768
[modalities]
input = ["text", "image"]
output = ["text"]
models/alibaba/qwen3.5-122b-a10b.toml
+29
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@@ -0,0 +1,29 @@
name = "Qwen3.5 122B-A10B"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen"
release_date = "2026-02-23"
last_updated = "2026-02-23"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = true
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text", "image", "video", "audio"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3.5-122B-A10B"
[[benchmarks]]
name = "SWE-Bench Verified"
score = 72
metric = "resolved"
source = "https://huggingface.co/Qwen/Qwen3.5-122B-A10B"
models/alibaba/qwen3.5-27b.toml
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name = "Qwen3.5 27B"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen"
release_date = "2026-02-23"
last_updated = "2026-02-23"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = true
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text", "image", "video", "audio"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3.5-27B"
[[benchmarks]]
name = "SWE-Bench Verified"
score = 72.4
metric = "resolved"
source = "https://huggingface.co/Qwen/Qwen3.5-27B"
models/alibaba/qwen3.5-35b-a3b.toml
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name = "Qwen3.5 35B-A3B"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen"
release_date = "2026-02-23"
last_updated = "2026-02-23"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = true
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text", "image", "video", "audio"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3.5-35B-A3B"
models/alibaba/qwen3.5-397b-a17b.toml
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name = "Qwen3.5 397B-A17B"
description = "Large open Qwen multimodal MoE for visual agents and long technical tasks"
family = "qwen"
release_date = "2026-02-15"
last_updated = "2026-02-15"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = true
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text", "image", "video", "audio"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3.5-397B-A17B"
[[benchmarks]]
name = "SWE-Bench Verified"
score = 76.4
metric = "resolved"
source = "https://huggingface.co/Qwen/Qwen3.5-397B-A17B"
models/alibaba/qwen3.5-9b.toml
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@@ -0,0 +1,23 @@
name = "Qwen3.5 9B"
description = "Qwen instruction model for multilingual chat, reasoning, and tool use"
family = "qwen"
release_date = "2026-02-23"
last_updated = "2026-02-23"
attachment = false
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = true
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3.5-9B"
models/alibaba/qwen3.5-plus.toml
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name = "Qwen3.5 Plus"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen"
release_date = "2026-02-16"
last_updated = "2026-02-16"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = false
[limit]
context = 1_000_000
output = 65_536
[modalities]
input = ["text", "image", "video"]
output = ["text"]
models/alibaba/qwen3.6-27b.toml
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@@ -0,0 +1,29 @@
name = "Qwen3.6 27B"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen"
release_date = "2026-04-22"
last_updated = "2026-04-22"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = true
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text", "image", "video", "audio"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3.6-27B"
[[benchmarks]]
name = "SWE-Bench Verified"
score = 77.2
metric = "resolved"
source = "https://huggingface.co/Qwen/Qwen3.6-27B"
models/alibaba/qwen3.6-35b-a3b.toml
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name = "Qwen3.6 35B-A3B"
description = "Open multimodal Qwen MoE for local agents that need vision, audio, and code"
family = "qwen"
release_date = "2026-04-17"
last_updated = "2026-04-17"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = true
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text", "image", "video", "audio"]
output = ["text"]
[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/Qwen/Qwen3.6-35B-A3B"
[[benchmarks]]
name = "SWE-Bench Verified"
score = 73.4
metric = "resolved"
source = "https://huggingface.co/Qwen/Qwen3.6-35B-A3B"
models/alibaba/qwen3.6-flash.toml
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@@ -0,0 +1,19 @@
name = "Qwen3.6 Flash"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen3.6"
release_date = "2026-04-27"
last_updated = "2026-04-27"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = false
[limit]
context = 1_000_000
output = 65_536
[modalities]
input = ["text", "image", "video"]
output = ["text"]
models/alibaba/qwen3.6-max-preview.toml
+19
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@@ -0,0 +1,19 @@
name = "Qwen3.6 Max Preview"
description = "Flagship Qwen model for complex reasoning, coding, and agentic workflows"
family = "qwen"
release_date = "2026-04-20"
last_updated = "2026-04-20"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = false
[limit]
context = 262_144
output = 65_536
[modalities]
input = ["text"]
output = ["text"]
models/alibaba/qwen3.6-plus.toml
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@@ -0,0 +1,19 @@
name = "Qwen3.6 Plus"
description = "Earlier Qwen multimodal workhorse for million-token agent and document tasks"
family = "qwen"
release_date = "2026-04-02"
last_updated = "2026-04-02"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = false
[limit]
context = 1_000_000
output = 65_536
[modalities]
input = ["text", "image", "video"]
output = ["text"]
models/alibaba/qwen3.7-max.toml
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@@ -0,0 +1,82 @@
name = "Qwen3.7 Max"
description = "Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks"
family = "qwen"
release_date = "2026-05-21"
last_updated = "2026-05-21"
attachment = false
reasoning = true
temperature = true
tool_call = true
open_weights = false
[limit]
context = 1_000_000
output = 65_536
[modalities]
input = ["text"]
output = ["text"]
[[benchmarks]]
name = "SWE-Bench Verified"
score = 80.4
metric = "resolved"
source = "https://qwen.ai/blog?id=qwen3.7"
date = "2026-05-19"
[[benchmarks]]
name = "SWE-Bench Pro"
score = 60.6
metric = "resolve rate"
source = "https://qwen.ai/blog?id=qwen3.7"
date = "2026-05-19"
[[benchmarks]]
name = "SWE-Bench Multilingual"
score = 78.3
metric = "resolve rate"
source = "https://qwen.ai/blog?id=qwen3.7"
date = "2026-05-19"
[[benchmarks]]
name = "Terminal-Bench"
score = 69.7
metric = "success rate"
harness = "Terminus-2"
version = "2.0"
source = "https://qwen.ai/blog?id=qwen3.7"
date = "2026-05-19"
[[benchmarks]]
name = "GPQA Diamond"
score = 92.4
metric = "accuracy"
source = "https://qwen.ai/blog?id=qwen3.7"
date = "2026-05-19"
[[benchmarks]]
name = "Humanity's Last Exam"
score = 41.4
metric = "accuracy"
source = "https://qwen.ai/blog?id=qwen3.7"
date = "2026-05-19"
[[benchmarks]]
name = "SciCode"
score = 53.5
source = "https://qwen.ai/blog?id=qwen3.7"
date = "2026-05-19"
[[benchmarks]]
name = "MCP Atlas"
score = 76.4
metric = "success rate"
source = "https://qwen.ai/blog?id=qwen3.7"
date = "2026-05-19"
[[benchmarks]]
name = "NL2Repo"
score = 47.2
harness = "Claude Code"
source = "https://qwen.ai/blog?id=qwen3.7"
date = "2026-05-19"
models/alibaba/qwen3.7-plus.toml
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name = "Qwen3.7 Plus"
description = "Multimodal Qwen workhorse for long-context agents, visual inputs, and coding"
family = "qwen"
release_date = "2026-06-02"
last_updated = "2026-06-02"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = false
[limit]
context = 1_000_000
output = 64_000
[modalities]
input = ["text", "image"]
output = ["text"]
models/alibaba/qwq-plus.toml
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name = "QwQ Plus"
description = "Qwen reasoning model for deliberate problem solving, math, and coding"
family = "qwen"
release_date = "2025-03-05"
last_updated = "2025-03-05"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2024-04"
open_weights = false
[limit]
context = 131_072
output = 8_192
[modalities]
input = ["text"]
output = ["text"]