chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 12:28:55 +08:00
commit db42b91b75
6397 changed files with 146012 additions and 0 deletions
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name = "Qwen3 235B A22B Instruct 2507"
description = "Qwen instruction model for multilingual chat, reasoning, and tool use"
family = "qwen"
release_date = "2025-08-23"
last_updated = "2025-08-23"
attachment = false
reasoning = false
temperature = true
tool_call = true
open_weights = true
[cost]
input = 0.20
output = 0.30
[limit]
context = 262_144
output = 131_072
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "Qwen3 235B A22B Thinking 2507"
description = "Qwen reasoning model for deliberate problem solving, math, and coding"
family = "qwen"
release_date = "2025-08-23"
last_updated = "2025-08-23"
attachment = false
reasoning = true
reasoning_options = []
temperature = true
tool_call = true
open_weights = true
[cost]
input = 0.20
output = 0.60
[limit]
context = 262_144
output = 131_072
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,22 @@
name = "Qwen3 Coder 480B A35B Instruct"
description = "Qwen coding model for software agents, repository edits, and code reasoning"
family = "qwen"
release_date = "2025-08-23"
last_updated = "2025-08-23"
attachment = false
reasoning = false
temperature = true
tool_call = true
open_weights = false
[cost]
input = 0.20
output = 0.80
[limit]
context = 262_144
output = 262_144
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "DeepSeek R1 0528"
description = "DeepSeek reasoning model for multi-step analysis, math, coding, and tools"
family = "deepseek-thinking"
release_date = "2025-08-23"
last_updated = "2025-08-23"
attachment = false
reasoning = true
reasoning_options = []
temperature = true
tool_call = true
open_weights = false
[cost]
input = 0.5
output = 2.15
[limit]
context = 75_000
output = 163_840
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,22 @@
name = "DeepSeek V3 0324"
description = "DeepSeek chat model for instruction following, coding, and analysis"
family = "deepseek"
release_date = "2025-08-23"
last_updated = "2025-08-23"
attachment = false
reasoning = false
temperature = true
tool_call = true
open_weights = false
[cost]
input = 0.20
output = 0.80
[limit]
context = 75_000
output = 163_840
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "DeepSeek V3.1"
description = "DeepSeek chat model for instruction following, coding, and analysis"
family = "deepseek"
release_date = "2025-08-23"
last_updated = "2025-08-23"
attachment = false
reasoning = true
reasoning_options = []
temperature = true
tool_call = true
open_weights = false
[cost]
input = 0.20
output = 0.80
[limit]
context = 75_000
output = 163_840
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "GPT OSS 120B"
description = "Open-weight GPT model for self-hosted reasoning and instruction-following workloads"
family = "gpt-oss"
release_date = "2025-08-23"
last_updated = "2025-08-23"
attachment = false
reasoning = true
reasoning_options = []
temperature = true
tool_call = true
open_weights = true
[cost]
input = 0.10
output = 0.50
[limit]
context = 131_072
output = 32_768
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,22 @@
name = "GLM 4.5 Air"
description = "Efficient GLM model for fast reasoning, coding, and agent workflows"
family = "glm-air"
release_date = "2025-07-28"
last_updated = "2025-07-28"
attachment = false
reasoning = false
temperature = true
tool_call = true
open_weights = true
[cost]
input = 0.10
output = 0.50
[limit]
context = 131_072
output = 131_072
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "GLM 4.5 FP8"
description = "Flagship GLM model for hybrid reasoning, coding, and agentic engineering"
family = "glm"
release_date = "2025-07-28"
last_updated = "2025-07-28"
attachment = false
reasoning = true
reasoning_options = []
temperature = true
tool_call = true
open_weights = true
[cost]
input = 0.20
output = 0.80
[limit]
context = 131_072
output = 131_072
[modalities]
input = ["text"]
output = ["text"]
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name = "submodel"
env = ["SUBMODEL_INSTAGEN_ACCESS_KEY"]
npm = "@ai-sdk/openai-compatible"
# Reasoning HTTP format (accessed 2026-06-25):
# InstaGen documents POST /v1/chat/completions but no caller reasoning toggle,
# effort field, token budget, values, bounds, sentinel, or reasoning response
# path. Its model catalog labels models as reasoning/general only.
# Sources:
# https://submodel.gitbook.io/docs/instagen/api-reference
# https://submodel.gitbook.io/docs/instagen/overview-1/available-models
api = "https://llm.submodel.ai/v1"
doc = "https://submodel.gitbook.io"