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text-generation
Model Details Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes.
text-generation
This is the instruction fine-tuned version of Mixtral-8x22B - the latest and largest mixture of experts large language model (LLM) from Mistral AI. This state of the art machine learning model uses a mixture 8 of experts (MoE) 22b models. During inference 2 experts are selected. This architecture allows large models to be fast and cheap at inference.
text-generation
WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to those leading proprietary models.
text-generation
WizardLM-2 7B is the smaller variant of Microsoft AI's latest Wizard model. It is the fastest and achieves comparable performance with existing 10x larger open-source leading models
text-generation
Zephyr 141B-A35B is an instruction-tuned (assistant) version of Mixtral-8x22B. It was fine-tuned on a mix of publicly available, synthetic datasets. It achieves strong performance on chat benchmarks.
text-generation
Gemma is an open-source model designed by Google. This is Gemma 1.1 7B (IT), an update over the original instruction-tuned Gemma release. Gemma 1.1 was trained using a novel RLHF method, leading to substantial gains on quality, coding capabilities, factuality, instruction following and multi-turn conversation quality.
text-generation
DBRX is an open source LLM created by Databricks. It uses mixture-of-experts (MoE) architecture with 132B total parameters of which 36B parameters are active on any input. It outperforms existing open source LLMs like Llama 2 70B and Mixtral-8x7B on standard industry benchmarks for language understanding, programming, math, and logic.
text-generation
Mixtral is mixture of expert large language model (LLM) from Mistral AI. This is state of the art machine learning model using a mixture 8 of experts (MoE) 7b models. During inference 2 expers are selected. This architecture allows large models to be fast and cheap at inference. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks.
text-generation
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is a instruct fine-tuned version of the Mistral-7B-v0.2 generative text model using a variety of publicly available conversation datasets.
text-generation
LLaMa 2 is a collections of LLMs trained by Meta. This is the 70B chat optimized version. This endpoint has per token pricing.
text-generation
The Dolphin 2.6 Mixtral 8x7b model is a finetuned version of the Mixtral-8x7b model, trained on a variety of data including coding data, for 3 days on 4 A100 GPUs. It is uncensored and requires trust_remote_code. The model is very obedient and good at coding, but not DPO tuned. The dataset has been filtered for alignment and bias. The model is compliant with user requests and can be used for various purposes such as generating code or engaging in general chat.
text-generation
A Mythomax/MLewd_13B-style merge of selected 70B models A multi-model merge of several LLaMA2 70B finetunes for roleplaying and creative work. The goal was to create a model that combines creativity with intelligence for an enhanced experience.
text-generation
OpenChat is a library of open-source language models that have been fine-tuned with C-RLFT, a strategy inspired by offline reinforcement learning. These models can learn from mixed-quality data without preference labels and have achieved exceptional performance comparable to ChatGPT. The developers of OpenChat are dedicated to creating a high-performance, commercially viable, open-source large language model and are continuously making progress towards this goal.
text-generation
LLaVa is a multimodal model that supports vision and language models combined.
text-generation
Latest version of the Airoboros model fine-tunned version of llama-2-70b using the Airoboros dataset. This model is currently running jondurbin/airoboros-l2-70b-2.2.1
text-to-image
SDXL consists of an ensemble of experts pipeline for latent diffusion: In a first step, the base model is used to generate (noisy) latents, which are then further processed with a refinement model (available here: https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/) specialized for the final denoising steps. Note that the base model can be used as a standalone module.
text-generation
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format.
automatic-speech-recognition
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.
embeddings
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, and the pre-trained model cannot be used for similarity calculation directly, it needs to be fine-tuned
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Run costs
Model | Context | $ per 1M input tokens | $ per 1M output tokens |
---|---|---|---|
mixtral-8x7B-chat | 32k | $0.24 | $0.24 |
mixtral-8x22B | 64k | $0.65 | $0.65 |
Zephyr 8x-22b | 64k | $0.65 | $0.65 |
dbrx | 32k | $0.60 | $0.60 |
Dolphin-2.6-mixtral-8x7b | 32k | $0.24 | $0.24 |
OpenChat-3.5 | 8k | $0.10 | $0.10 |
Llama-3-8B-Instruct | 8k | $0.08 | $0.08 |
Llama-2-7b-chat | 4k | $0.07 | $0.07 |
Mistral-7B | 32k | $0.07 | $0.07 |
Mistral-7B-v2 | 32k | $0.07 | $0.07 |
WizardLM-2-7B | 32k | $0.07 | $0.07 |
Gemma-7b | 8k | $0.07 | $0.07 |
Llama-2-13b-chat | 4k | $0.13 | $0.13 |
MythoMax-L2-13b | 4k | $0.13 | $0.13 |
Yi-34B-Chat | 4k | $0.60 | $0.60 |
CodeLlama-34b-Instruct | 4k | $0.60 | $0.60 |
Phind-CodeLlama-34B-v2 | 4k | $0.60 | $0.60 |
Llama-3-70B-Instruct | 8k | $0.59 | $0.79 |
Llama-2-70b-chat | 4k | $0.64 | $0.80 |
Airoboros-70b | 4k | $0.70 | $0.90 |
Lzlv-70b | 4k | $0.59 | $0.79 |
You can deploy your own model on our hardware and pay for uptime. You get dedicated SXM-connected GPUs (for multi-GPU setups), automatic scaling to handle load fluctuations and a very competitive price. Read More
GPU | Price |
---|---|
Nvidia A100 GPU | $2.00/GPU-hour |
Nvidia H100 GPU | $4.00/GPU-hour |
Dedicated A100-80GB & H100-80GB GPUs for your custom LLM needs
Billed in minute granularity
Invoiced weekly
For dedicated instances and DGX H100 clusters with 3.2Tbps bandwidth, please contact us at dedicated@deepinfra.com
Model | Context | $ per 1M input tokens |
---|---|---|
bge-large-en-v1.5 | 512 | $0.01 |
bge-base-en-v1.5 | 512 | $0.005 |
e5-large-v2 | 512 | $0.01 |
e5-base-v2 | 512 | $0.005 |
gte-large | 512 | $0.01 |
gte-base | 512 | $0.005 |
Models that are priced by execution time include SDXL and Whisper.
billed per millisecond of inference execution time
only pay for the inference time not idle time
1 hour free
All models run on H100 or A100 GPUs, optimized for inference performance and low latency.
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You get $1.80 when you sign up. After you use it up you have to add a card or pre-pay. Invoices are generated at the beginning of the month. You can also set a spending limit to avoid surprises.