feat(melious): add Melious provider with 56 models

labs/baai/lab.toml

@@ -0,0 +1 @@
+description = "The Beijing Academy of Artificial Intelligence publishes the BGE family, a widely used set of open embedding and reranking models for retrieval."

labs/hcompany/lab.toml

@@ -0,0 +1 @@
+description = "H Company builds Holo models for GUI grounding, letting computer-use agents locate and act on elements in web, desktop, and mobile interfaces."

labs/intfloat/lab.toml

@@ -0,0 +1 @@
+description = "intfloat publishes the E5 text-embedding family, contrastively trained retrieval models covering English and multilingual corpora."

labs/nousresearch/lab.toml

@@ -0,0 +1 @@
+description = "Nous Research fine-tunes open base models into the Hermes line, favouring steerable, hybrid-reasoning assistants with neutral alignment."

labs/sentence-transformers/lab.toml

@@ -0,0 +1 @@
+description = "The sentence-transformers project maintains compact bi-encoder embedding models for sentence similarity, clustering, and paraphrase mining."

models/alibaba/qwen3-30b-a3b-instruct-2507.toml

@@ -0,0 +1,24 @@
+name = "Qwen3 30B-A3B Instruct 2507"
+description = "Compact open Qwen3 MoE instruct model for fast multilingual chat, coding, and tool use"
+family = "qwen"
+release_date = "2025-07-29"
+last_updated = "2025-07-29"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = true
+license = "Apache-2.0"
+
+[limit]
+context = 262_144
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507"

models/alibaba/qwen3-embedding-8b.toml

@@ -0,0 +1,23 @@
+name = "Qwen3 Embedding 8B"
+description = "Largest Qwen3 embedding model for multilingual retrieval, ranking, and code search"
+family = "qwen"
+release_date = "2025-06-03"
+last_updated = "2025-06-03"
+attachment = false
+reasoning = false
+temperature = false
+tool_call = false
+open_weights = true
+license = "Apache-2.0"
+
+[limit]
+context = 32_768
+output = 1
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3-Embedding-8B"

models/baai/bge-large-en-v1.5.toml

@@ -0,0 +1,23 @@
+name = "BGE Large EN v1.5"
+description = "English text embedding model for semantic search, retrieval, and reranking pipelines"
+family = "bge"
+release_date = "2023-09-12"
+last_updated = "2023-09-12"
+attachment = false
+reasoning = false
+temperature = false
+tool_call = false
+open_weights = true
+license = "MIT"
+
+[limit]
+context = 512
+output = 1
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/BAAI/bge-large-en-v1.5"

models/baai/bge-m3.toml

@@ -0,0 +1,23 @@
+name = "BGE M3"
+description = "Multilingual multi-granularity embedding model for dense, sparse, and multi-vector retrieval"
+family = "bge"
+release_date = "2024-01-27"
+last_updated = "2024-01-27"
+attachment = false
+reasoning = false
+temperature = false
+tool_call = false
+open_weights = true
+license = "MIT"
+
+[limit]
+context = 8_192
+output = 1
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/BAAI/bge-m3"

models/baai/bge-multilingual-gemma2.toml

@@ -0,0 +1,23 @@
+name = "BGE Multilingual Gemma2"
+description = "Gemma 2 based multilingual embedding model for cross-language search and retrieval"
+family = "bge"
+release_date = "2024-07-29"
+last_updated = "2024-07-29"
+attachment = false
+reasoning = false
+temperature = false
+tool_call = false
+open_weights = true
+license = "Gemma"
+
+[limit]
+context = 8_192
+output = 1
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/BAAI/bge-multilingual-gemma2"

models/google/gemma-3-27b-it.toml

@@ -0,0 +1,30 @@
+name = "Gemma 3 27B IT"
+description = "Open Gemma 3 instruction model with vision input and a long multilingual context"
+family = "gemma"
+release_date = "2025-03-12"
+last_updated = "2025-03-12"
+attachment = true
+reasoning = false
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2024-08"
+open_weights = true
+license = "Gemma"
+
+[limit]
+context = 131_072
+output = 8_192
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/google/gemma-3-27b-it"
+
+[[links]]
+label = "Model card"
+url = "https://ai.google.dev/gemma/docs/core/model_card_3"
+type = "model_card"

models/hcompany/holo2-30b-a3b.toml

@@ -0,0 +1,22 @@
+name = "Holo2 30B A3B"
+description = "Open GUI-grounding model that reads web, desktop, and mobile interfaces for computer-use agents"
+release_date = "2025-11-10"
+last_updated = "2025-11-10"
+attachment = true
+reasoning = false
+temperature = true
+tool_call = true
+open_weights = true
+license = "Apache-2.0"
+
+[limit]
+context = 131_072
+output = 16_384
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Hcompany/Holo2-30B-A3B"

models/intfloat/multilingual-e5-large-instruct.toml

@@ -0,0 +1,23 @@
+name = "Multilingual E5 Large Instruct"
+description = "Instruction-tuned multilingual E5 embedding model for task-conditioned retrieval"
+family = "text-embedding"
+release_date = "2024-02-08"
+last_updated = "2024-02-08"
+attachment = false
+reasoning = false
+temperature = false
+tool_call = false
+open_weights = true
+license = "MIT"
+
+[limit]
+context = 512
+output = 1
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/intfloat/multilingual-e5-large-instruct"

models/intfloat/multilingual-e5-large.toml

@@ -0,0 +1,23 @@
+name = "Multilingual E5 Large"
+description = "Multilingual E5 embedding model for semantic search and retrieval across 100 languages"
+family = "text-embedding"
+release_date = "2023-06-30"
+last_updated = "2023-06-30"
+attachment = false
+reasoning = false
+temperature = false
+tool_call = false
+open_weights = true
+license = "MIT"
+
+[limit]
+context = 512
+output = 1
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/intfloat/multilingual-e5-large"

models/meta/llama-3.1-405b-instruct.toml

@@ -0,0 +1,30 @@
+name = "Llama 3.1 405B Instruct"
+description = "Largest open Llama 3.1 instruct model for multilingual chat, reasoning, and coding"
+family = "llama"
+release_date = "2024-07-23"
+last_updated = "2024-07-23"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2023-12"
+open_weights = true
+license = "Llama 3.1 Community License"
+
+[limit]
+context = 128_000
+output = 4_096
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct"
+
+[[links]]
+label = "Model card"
+url = "https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/MODEL_CARD.md"
+type = "model_card"

models/mistral/voxtral-small-2507.toml

@@ -0,0 +1,23 @@
+name = "Voxtral Small 24B 2507"
+description = "Open Mistral speech-understanding model for transcription, audio Q&A, and summarisation"
+family = "voxtral"
+release_date = "2025-07-15"
+last_updated = "2025-07-15"
+attachment = true
+reasoning = false
+temperature = true
+tool_call = false
+open_weights = true
+license = "Apache-2.0"
+
+[limit]
+context = 32_000
+output = 4_096
+
+[modalities]
+input = ["text", "audio"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/mistralai/Voxtral-Small-24B-2507"

models/nousresearch/hermes-4-405b.toml

@@ -0,0 +1,29 @@
+name = "Hermes 4 405B"
+description = "Hybrid-reasoning Hermes 4 built on Llama 3.1 405B for logic, math, and steerable chat"
+family = "hermes"
+release_date = "2025-08-26"
+last_updated = "2025-08-26"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2023-12"
+open_weights = true
+license = "Llama 3.1 Community License"
+
+[limit]
+context = 128_000
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/NousResearch/Hermes-4-405B"
+
+[[links]]
+label = "Announcement"
+url = "https://hermes4.nousresearch.com"
+type = "announcement"

models/nousresearch/hermes-4-70b.toml

@@ -0,0 +1,30 @@
+name = "Hermes 4 70B"
+description = "Hybrid-reasoning Hermes 4 built on Llama 3.1 70B for deliberate analysis and tool use"
+family = "hermes"
+release_date = "2025-08-26"
+last_updated = "2025-08-26"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2023-12"
+open_weights = true
+license = "Llama 3.1 Community License"
+
+[limit]
+context = 128_000
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/NousResearch/Hermes-4-70B"
+
+[[links]]
+label = "Announcement"
+url = "https://hermes4.nousresearch.com"
+type = "announcement"

models/sentence-transformers/paraphrase-multilingual-mpnet-base-v2.toml

@@ -0,0 +1,23 @@
+name = "Paraphrase Multilingual MPNet Base v2"
+description = "Compact multilingual sentence embedding model for paraphrase matching and clustering"
+family = "text-embedding"
+release_date = "2021-06-02"
+last_updated = "2021-06-02"
+attachment = false
+reasoning = false
+temperature = false
+tool_call = false
+open_weights = true
+license = "Apache-2.0"
+
+[limit]
+context = 128
+output = 1
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2"

packages/web/src/render.tsx

@@ -99,9 +99,13 @@ interface SearchIndexItem {
 
 const LAB_NAME_OVERRIDES: Record<string, string> = {
   alibaba: "Alibaba",
+  baai: "BAAI",
+  hcompany: "H Company",
+  intfloat: "intfloat",
   meta: "Meta",
   minimax: "MiniMax",
   moonshotai: "Moonshot AI",
+  nousresearch: "Nous Research",
   openai: "OpenAI",
   perplexity: "Perplexity",
   stepfun: "StepFun",