Uploading a custom model

In addition to the predefined set of models already available on Fireworks and models you fine-tune on the Fireworks platform, you can also upload your own custom models. Both custom base models and PEFT addons are supported.

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PEFT addons

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Requirements

Your PEFT addon must contain the following files:

• adapter_config.json - The Hugging Face adapter configuration file.
• adapter_model.bin or adapter_model.safetensors - The saved addon file.

The adapter_config.json must contain the following fields:

• r - The number of LoRA ranks. Must be between an integer between 4 and 64, inclusive.
• target_modules - A list of target modules. Currently the following target modules are supported:
  • q_proj
  • k_proj
  • v_proj
  • o_proj
  • up_proj or w1
  • down_proj or w2
  • gate_proj or w3
  • block_sparse_moe.gate

Additional fields may be specified but are ignored.

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Enabling chat completions

To enable the chat completions API for your PEFT addon, add a fireworks.json file directory containing:

{
  "conversation_config": {
    "style": "jinja",
    "args": {
      "template": "<YOUR_JINJA_TEMPLATE>"
    }
  }
}

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Uploading the model

To upload a PEFT addon, you must additionally pass the --base-model flag.

NOTE: Only some base models support PEFT addons.

firectl create model <MODEL_ID> --base-model "accounts/fireworks/models/<BASE_MODEL_ID>"

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Custom base models

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Requirements

Fireworks currently supports the following model architectures:

• Gemma
• Phi, Phi-3
• Llama 1,2,3,3.1
• LLaVa
• Mistral & Mixtral
• Qwen2
• StableLM
• Starcoder(GPTBigCode) & Starcoder2
• DeepSeek V1 & V2
• GPT NeoX

The model files you will need to provide depend on the model architecture. In general, you will need the following files:

• Model configuration: config.json.
  Fireworks does not support the quantization_config option in config.json.
• Model weights, in one of the following formats:
  • *.safetensors
  • *.bin
• Weights index:*.index.json
• Tokenizer file(s), e.g.
  • tokenizer.model
  • tokenizer.json
  • tokenizer_config.json

If the requisite files are not present, model deployment may fail.

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Enabling chat completions

To enable the chat completions API for your custom base model, ensure your tokenizer_config.json contains a chat_template field. See the Hugging Face guide on Templates for Chat Models for details.

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Uploading the model

To upload a custom base model, run:

firectl create model <MODEL_ID> /path/to/files/

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Deploying

A model cannot be used for inference until it is deployed. See the Deploying models guide to deploy the model.