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@@ -148,23 +148,24 @@ def apply_model_params_to_body(
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return form_data
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-OPENAI_MAPPINGS = {
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- "temperature": float,
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- "top_p": int,
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- "max_tokens": int,
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- "frequency_penalty": int,
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- "seed": lambda x: x,
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- "stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
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-}
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-
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-
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# inplace function: form_data is modified
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def apply_model_params_to_body_openai(params: dict, form_data: dict) -> dict:
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- return apply_model_params_to_body(params, form_data, OPENAI_MAPPINGS)
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+ mappings = {
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+ "temperature": float,
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+ "top_p": int,
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+ "max_tokens": int,
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+ "frequency_penalty": int,
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+ "seed": lambda x: x,
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+ "stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
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+ }
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+ return apply_model_params_to_body(params, form_data, mappings)
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def apply_model_params_to_body_ollama(params: dict, form_data: dict) -> dict:
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opts = [
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+ "temperature",
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+ "top_p",
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+ "seed",
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"mirostat",
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"mirostat_eta",
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"mirostat_tau",
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@@ -180,12 +181,18 @@ def apply_model_params_to_body_ollama(params: dict, form_data: dict) -> dict:
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"num_thread",
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]
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mappings = {i: lambda x: x for i in opts}
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- mappings = {**mappings, **OPENAI_MAPPINGS}
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form_data = apply_model_params_to_body(params, form_data, mappings)
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- # only param that changes name
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- if (param := params.get("frequency_penalty", None)) is not None:
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- form_data["repeat_penalty"] = param
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+ name_differences = {
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+ "max_tokens": "num_predict",
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+ "frequency_penalty": "repeat_penalty",
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+ }
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+
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+ for key, value in name_differences.items():
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+ if (param := params.get(key, None)) is not None:
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+ form_data[value] = param
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+
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+ print(form_data)
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return form_data
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