100+ Open-source LLMs Ready to Use

The largest selection of models for fine-tuning and serving

Predibase offers the largest selection of open-source models for fine-tuning and serving. Check out our current list of supported models and guidance on how to bring your own models in the table below.

NameDescriptionContext WindowAlways On
BioMistral 7B

BioMistral is a suite of Mistral-based further pre-trained open source models suited for the medical domains and pre-trained using textual data from PubMed Central Open Access. This is the base 7B model.

2,048
CodeLlama 7B

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the 7B base version.

16,000
CodeLlama 7B Instruct

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the 7B instruct-tuned version.

16,000
CodeLlama 7B Python

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the 7B Python specialist version.

16,000
CodeLlama 13B

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the 13B base version.

16,000
CodeLlama 13B Instruct Serverless

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the instruction-tuned 13B model.

4,096
CodeLlama 34B

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the 34B base version.

16,000
CodeLlama 13B Python

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the 13B Python specialist version.

16,000
CodeLlama 34B Instruct

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the 34B instruct-tuned version.

16,000
CodeLlama 34B Python

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the 34B Python specialist version.

16,000
CodeLlama 34B Python v1 - Phind

Fine-tuned CodeLlama-34B and CodeLlama-34B-Python on an internal Phind dataset.

16,000
CodeLlama 34B v1 - Phind

Fine-tuned CodeLlama-34B and CodeLlama-34B-Python on an internal Phind dataset.

16,000
CodeLlama 34B v2 - Phind

Fine-tuned Phind-CodeLlama-34B-v1 on an additional 1.5B tokens high-quality programming-related data.

16,000
CodeLlama 70B

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the 70B base version.

4,096
CodeLlama 70B Instruct Serverless

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the instruction-tuned 70B model.

4,096
CodeLlama 70B Python

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the 70B Python specialist version.

100,000
Gemma 2B Serverless

This is the 2B base version of the Gemma model.

8,192
Gemma 2B Instruct Serverless

This is the 2B instruction-tuned version of the Gemma model.

8,192
Gemma 7B Serverless

This is the 7B base version of the Gemma model

8,192
Gemma 7B Instruct Serverless

This is the 7B instruction-tuned version of the Gemma model.

8,192
GPT2

GPT-2 is a transformers model pretrained on a very large corpus of English data in a self-supervised fashion.

1,024
GPT2 Medium

GPT-2 Medium is the 355M parameter version of GPT-2, a transformer-based language model created and released by OpenAI.

1,024
GPT2 Large

GPT-2 Large is the 774M parameter version of GPT-2, a transformer-based language model created and released by OpenAI.

1,024
GPT2 XL

GPT-2 XL is the 1.5B parameter version of GPT-2, a transformer-based language model created and released by OpenAI.

1,024
Llama 2 7B Serverless

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 base 7B model.

4,096
Llama 2 7B Chat Serverless

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 instruction tuned 7B model.

4,096
Llama 2 13B Serverless

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 base 13B model.

4,096
Llama 2 13B Chat Serverless

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 instruction-tuned 13B model.

4,096
Llama 2 70B Serverless

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 base 70B model.

4,096
Llama 2 70B Chat Serverless

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 instruction-tuned 70B model.

4,096
Llama 3 8B Serverless

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. This is the base 8B parameter model.

8,192
Llama 3 8B Instruct Serverless

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. This is the instruction-tuned 8B parameter model.

8,192
Llama 3 70B Serverless

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. This is the base 70B parameter model.

8,192
Llama 3 70B Instruct Serverless

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. This is the instruction tuned 70B parameter model.

8,192
Llama Guard 2 8B

Meta Llama Guard 2 is an 8B parameter Llama 3-based [1] LLM safeguard model.

8,192
Meditron 7B

Meditron is a suite of open-source medical Large Language Models (LLMs). Meditron-7B is a 7 billion parameters model adapted to the medical domain from Llama-2-7B through continued pretraining on a comprehensively curated medical corpus, including selected PubMed articles, abstracts, a new dataset of internationally-recognized medical guidelines, and general domain data from RedPajama-v1.

2,000
Meditron 70B

Meditron is a suite of open-source medical Large Language Models (LLMs). Meditron-70B is a 70 billion parameters model adapted to the medical domain from Llama-2-70B through continued pretraining on a comprehensively curated medical corpus, including selected PubMed articles, abstracts, a new dataset of internationally-recognized medical guidelines, and general domain data from RedPajama-v1.

2,000
Mixtral 8x7B Instruct v01 Serverless

The Mixtral-8x7B-instruct-v0.1 Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.

32,768
Mistral 7B Instruct v02 Serverless

The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.

32,768
Mistral 7B Instruct v03 Serverless

The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3.

8,000
Mistral 7B Serverless

The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters.

32,768
Mistral 7B Instruct Serverless

The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the Mistral-7B-v0.1 generative text model using a variety of publicly available conversation datasets.

32,768
Mixtral 8x7B v01

The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.

32,768
Phi 2 Serverless

Phi-2 is a Transformer with 2.7 billion parameters. It was trained using the same data sources as Phi-1.5, augmented with a new data source that consists of various NLP synthetic texts and filtered websites (for safety and educational value).

2,048
Phi 3 4k Instruct Serverless

The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets. This is the 4k context window instruct version of the model.

4,000
Qwen 14B

Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. This is the 14B base version.

32,000
Qwen 32B

Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. This is the 32B base version.

32,000
Qwen 72B

Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. This is the 72B base version.

32,000
solar-1-mini-chat-240520 Serverless

Upstage's Solar model is a family of large language models (LLMs) known for its compact yet powerful performance compared to similar sized models below 13B parameter size. The Solar Chat model is optimized for multi-turn chat purposes to effectively handle extended conversations, making it a compelling choice for interactive applications.

32,768
Zephyr 7B Beta

Zephyr-7B-β is the second model in the series, and is a fine-tuned version of mistralai/Mistral-7B-v0.1 that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO).

32,768

Bring Your Own Model

Predibase is the only platform that allows you to take nearly any standard base or fine-tuned LLM from HuggingFace and serve it as a dedicated deployment on state-of-the-art managed infra.

Ready to efficiently fine-tune and serve your own LLM?