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
+3
View File
@@ -0,0 +1,3 @@
<svg width="24" height="24" viewBox="0 0 40 40" xmlns="http://www.w3.org/2000/svg">
<path d="M34.625 33.7119H27.4734V6.28124H34.625V33.7119ZM23.703 33.7119H18.6296V6.28124H23.703V33.7119ZM15.2674 33.7119H11.3771V6.28124H15.2674V33.7119ZM8.15814 33.7119H5.375V6.28124H8.15814V33.7119Z" fill="currentColor"/>
</svg>

After

Width:  |  Height:  |  Size: 314 B

@@ -0,0 +1,23 @@
name = "Google Gemma 3"
description = "Open Gemma instruction model for efficient chat and self-hosted deployments"
family = "gemma"
release_date = "2025-01-01"
last_updated = "2025-01-01"
attachment = true
reasoning = false
temperature = true
knowledge = "2024-12"
tool_call = true
open_weights = true
[cost]
input = 0.15
output = 0.30
[limit]
context = 125_000
output = 4_096
[modalities]
input = ["text", "image"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "Llama 3.1 8B Instruct"
description = "Open Llama instruction model for multilingual chat, reasoning, and coding"
family = "llama"
release_date = "2025-01-01"
last_updated = "2025-01-01"
attachment = false
reasoning = false
temperature = true
knowledge = "2023-12"
tool_call = true
open_weights = true
[cost]
input = 0.025
output = 0.025
[limit]
context = 16_000
output = 4_096
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "Llama 3.2 11B Vision Instruct"
description = "Open Llama multimodal model for image understanding and text reasoning"
family = "llama"
release_date = "2025-01-01"
last_updated = "2025-01-01"
attachment = true
reasoning = false
temperature = true
knowledge = "2023-12"
tool_call = true
open_weights = true
[cost]
input = 0.055
output = 0.055
[limit]
context = 16_000
output = 4_096
[modalities]
input = ["text", "image"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "Llama 3.2 1B Instruct"
description = "Open Llama instruction model for multilingual chat, reasoning, and coding"
family = "llama"
release_date = "2025-01-01"
last_updated = "2025-01-01"
attachment = false
reasoning = false
temperature = true
knowledge = "2023-12"
tool_call = true
open_weights = true
[cost]
input = 0.01
output = 0.01
[limit]
context = 16_000
output = 4_096
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "Llama 3.2 3B Instruct"
description = "Open Llama instruction model for multilingual chat, reasoning, and coding"
family = "llama"
release_date = "2025-01-01"
last_updated = "2025-01-01"
attachment = false
reasoning = false
temperature = true
knowledge = "2023-12"
tool_call = true
open_weights = true
[cost]
input = 0.02
output = 0.02
[limit]
context = 16_000
output = 4_096
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "Mistral Nemo 12B Instruct"
description = "Mistral model for multilingual chat, reasoning, and tool-assisted workflows"
family = "mistral-nemo"
release_date = "2025-01-01"
last_updated = "2025-01-01"
attachment = false
reasoning = false
temperature = true
knowledge = "2024-12"
tool_call = true
open_weights = true
[cost]
input = 0.038
output = 0.10
[limit]
context = 16_000
output = 4_096
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "Osmosis Structure 0.6B"
description = "Open-weight instruction model for adaptable chat and self-hosted production workloads"
family = "osmosis"
release_date = "2025-01-01"
last_updated = "2025-01-01"
attachment = false
reasoning = false
temperature = true
knowledge = "2024-12"
tool_call = true
open_weights = true
[cost]
input = 0.10
output = 0.50
[limit]
context = 4_000
output = 2_048
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "Qwen 2.5 7B Vision Instruct"
description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
family = "qwen"
release_date = "2025-01-01"
last_updated = "2025-01-01"
attachment = true
reasoning = false
temperature = true
knowledge = "2024-12"
tool_call = true
open_weights = true
[cost]
input = 0.20
output = 0.20
[limit]
context = 125_000
output = 4_096
[modalities]
input = ["text", "image"]
output = ["text"]
@@ -0,0 +1,23 @@
name = "Qwen 3 Embedding 4B"
description = "Embedding model for semantic search, retrieval, clustering, and ranking pipelines"
family = "qwen"
release_date = "2025-01-01"
last_updated = "2025-01-01"
attachment = false
reasoning = false
temperature = false
knowledge = "2024-12"
tool_call = false
open_weights = true
[cost]
input = 0.01
output = 0.00
[limit]
context = 32_000
output = 2_048
[modalities]
input = ["text"]
output = ["text"]
+9
View File
@@ -0,0 +1,9 @@
name = "Inference"
env = ["INFERENCE_API_KEY"]
npm = "@ai-sdk/openai-compatible"
# Reasoning HTTP format (accessed 2026-06-25): POST /v1/chat/completions. The
# provider's supported-parameter table documents no toggle, effort, or numeric
# reasoning-token budget field; it directs users to request unlisted fields.
# https://docs.inference.net/api/api-quickstart
api = "https://inference.net/v1"
doc = "https://inference.net/models"