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openaiListed Jan 25

OpenAI: GPT-3.5 Turbo (older v0613)

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

4.1K contextTool callingStructured outputNo reported score
No reported score
intfloatListed Nov 22

Intfloat: E5-Base-v2

The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as…

512 contextOpen weightsNo reported score
No reported score
$0.005in$0.00out/ 1M tokens · USDOpenRouter
thenlperListed Nov 22

gte-base

The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE…

512 contextOpen weightsNo reported score
No reported score
$0.005in$0.00out/ 1M tokens · USDOpenRouter
intfloatListed Nov 22

Intfloat: E5-Large-v2

The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic…

512 contextOpen weightsNo reported score
No reported score
$0.01in$0.00out/ 1M tokens · USDOpenRouter
thenlperListed Nov 22

gte-large

The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE…

512 contextOpen weightsNo reported score
No reported score
$0.01in$0.00out/ 1M tokens · USDOpenRouter
BAAIListed Nov 22

bge-base-en-v1.5

BGE embedding is a general Embedding Model. It is pre-trained using retromae and trained on large-scale pair data using contrastive learning. Note that the goal of pre-training is to reconstruct the text,…

512 contextOpen weightsNo reported score
No reported score
$0.005in$0.00out/ 1M tokens · USDOpenRouter
BAAIListed Nov 22

bge-large-en-v1.5

BGE embedding is a general Embedding Model. It is pre-trained using retromae and trained on large-scale pair data using contrastive learning. Note that the goal of pre-training is to reconstruct the text,…

512 contextOpen weightsNo reported score
No reported score
$0.01in$0.00out/ 1M tokens · USDOpenRouter
openaiListed Aug 28

OpenAI: GPT-3.5 Turbo 16k

This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...

16.4K contextTool callingStructured outputNo reported score
No reported score
mancerListed Aug 2

Mancer: Weaver (alpha)

An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.

8K contextStructured outputNo reported score
No reported score
grypheListed Jul 2

MythoMax 13B

One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge

8.2K context13BStructured outputOpen weightsNo reported score
No reported score
openaiListed May 28

OpenAI: GPT-3.5 Turbo

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

16.4K contextTool callingStructured outputNo reported score
No reported score
openaiListed May 28

OpenAI: GPT-3.5 Turbo (batch)

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

16.4K contextTool callingStructured outputNo reported score
No reported score
openaiListed May 28

OpenAI: GPT-4

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced…

8.2K contextTool callingStructured outputNo reported score
No reported score
sentence-transformersListed Mar 22

all-MiniLM-L6-v2

We present a sentence transformation model that achieves state-of-the-art results on various NLP tasks without requiring task-specific architectures or fine-tuning. Our approach leverages contrastive…

512 contextOpen weightsNo reported score
No reported score
$0.005in$0.00out/ 1M tokens · USDOpenRouter
sentence-transformersListed Mar 3

paraphrase-MiniLM-L6-v2

We present a sentence similarity model based on the Sentence Transformers architecture, which maps sentences to a 384-dimensional dense vector space. The model uses a pre-trained BERT encoder and applies…

512 contextOpen weightsNo reported score
No reported score
$0.005in$0.00out/ 1M tokens · USDOpenRouter
sentence-transformersListed Mar 3

multi-qa-mpnet-base-dot-v1

We present a sentence transformation model that maps sentences and paragraphs to a 768-dimensional dense vector space, suitable for semantic search tasks. The model is trained on 215 million question-answer…

512 contextOpen weightsNo reported score
No reported score
$0.005in$0.00out/ 1M tokens · USDOpenRouter
sentence-transformersListed Feb 28

all-MiniLM-L12-v2

We present a sentence transformation model that generates semantically similar sentences. Our model is based on the Sentence-Transformers architecture and was trained on a large dataset of sentence pairs.…

512 contextOpen weightsNo reported score
No reported score
$0.005in$0.00out/ 1M tokens · USDOpenRouter
sentence-transformersListed Feb 28

all-mpnet-base-v2

A sentence transformation model that has been trained on a wide range of datasets, including but not limited to S2ORC, WikiAnwers, PAQ, Stack Exchange, and Yahoo! Answers. Our model can be used for various…

512 contextOpen weightsNo reported score
No reported score
$0.005in$0.00out/ 1M tokens · USDOpenRouter