# Genie Node JSON configuration string
The following sections contain information that pertain to the format of the JSON configuration string that is supplied
to [GenieNodeConfig\_createFromJson](https://docs.qualcomm.com/doc/80-63442-10/topic/function_GenieNode_8h_1a2c64ec143da2dbbd2241854833e86c41.html#exhale-function-genienode-8h-1a2c64ec143da2dbbd2241854833e86c41). This JSON
configuration can also be supplied to the genie-app tool.
Note
Please refer to the example configs contained in the SDK at ${SDK\_ROOT}/examples/Genie/configs/pipeline.
## General configuration schema
The following provides the schema of the JSON configuration format that is provided to
[GenieNodeConfig\_createFromJson](https://docs.qualcomm.com/doc/80-63442-10/topic/function_GenieNode_8h_1a2c64ec143da2dbbd2241854833e86c41.html#exhale-function-genienode-8h-1a2c64ec143da2dbbd2241854833e86c41). Note that the JSON
configurations follows dialog schema for text-generation and embedding schema for image and text encoding.
Text Generator schema:
{
"text-generator" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"type" : {"type": "string", "enum":["basic"]},
"context" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"size": {"type": "integer"},
"n-vocab": {"type": "integer"},
"bos-token": {"type": "integer"},
"eos-token": {"type": "integer"}
}
},
"sampler" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"seed" : {"type": "integer"},
"temp" : {"type": "float"},
"top-k" : {"type": "integer"},
"top-p" : {"type": "float"},
"greedy" : {"type": "boolean"}
}
},
"tokenizer" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"path" : {"type": "string"}
}
},
"engine" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"n-threads" : {"type": "integer"},
"backend" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"type" : {"type": "string","enum" : ["QnnHtp", "QnnGenAiTransformer"]},
"QnnHtp" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"spill-fill-bufsize" : {"type": "integer"},
"data-alignment-size" : {"type": "integer"},
"use-mmap" : {"type": "boolean"},
"mmap-budget" : {"type": "integer"},
"poll" : {"type": "boolean"},
"pos-id-dim" : {"type": "integer"},
"cpu-mask" : {"type": "string"},
"kv-dim" : {"type": "integer"},
"allow-async-init" : {"type": "boolean"},
"allow-async-enqueue" : {"type": "boolean"},
"rope-theta" : {"type": "double"}
}
},
"QnnGenAiTransformer" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"n-logits" : {"type": "integer"},
"n-layer" : {"type": "integer"},
"n-embd" : {"type": "integer"},
"n-heads" : {"type": "integer"},
"kv-quantization" : {"type": "boolean"}
}
},
"extensions" : {"type": "string"}
}
},
"model" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"type" : {"type": "string","enum":["binary", "library"]},
"binary" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"ctx-bins" : {"type": "array", "items": {"type": "string"}}
}
},
"library" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"model-bin" : {"type": "string"}
}
}
}
}
}
}
}
}
}
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| Option | Applicability | Description |
| --- | --- | --- |
| text-generator::version | all backends | Version of node object that is supported by APIs.(1) |
| text-generator::type | all backends | Type of node supported by APIs.(basic) |
| text-generator::stop-sequence | all backends | Stop query when a set of sequences detected in response.
Argument passed in as an array of strings |
| text-generator::max-num-tokens | all backends | Stop query when max number of tokens generated in response. |
| context::version | all backends | Version of context object that is supported by APIs. (1) |
| context::size | all backends | Context length. Maximum number of tokens to store. |
| context::n-vocab | all backends | Model vocabulary size. |
| context::bos-token | all backends | Beginning of sentence token. |
| context::eos-token | all backends | End of sentence token.
Argument passed in as an integer or array of integers |
| context::eot-token | all backends | End of turn token. |
| sampler::version | all backends | Version of sampler object that is supported by APIs. (1) |
| sampler::type | all backends | Type of sampler to use. Supported options: basic, custom |
| sampler::callback-name | all backends | Name of the callback function to use for Sampling. |
| sampler::seed | all backends | Sampling random number generation seed. |
| sampler::temp | all backends | Sampling temperature. |
| sampler::top-k | all backends | Top-k number of samples. |
| sampler::top-p | all backends | Top-p sampling threshold. |
| sampler::greedy | all backends | Sampler that need to be used is random or greedy.
true value specify greedy sampling. |
| tokenizer::version | all backends | Version of tokenizer object that is supported by APIs. (1) |
| tokenizer::path | all backends | Path to tokenizer file. |
| engine::version | all backends | Version of engine object that is supported by APIs. (1) |
| engine::n-threads | all backends | Number of threads to use for KV-cache updates. |
| debug::path | all backends | File path to dump debug information. |
| debug::dump-tensors | all backends | Raw data dump of input and output tensors |
| debug::dump-specs | all backends | Dumps Input output tensor specification such as bw, scale,
offset, dimensions |
| debug::dump-outputs | all backends | Raw data dump of output tensor from engine |
| backend::version | all backends | Version of backend object that is supported by APIs. (1) |
| backend::type | all backends | Type of engine like “QnnHtp” for QNN HTP,
“QnnGenAiTransformer” for QNN GenAITransformer backend and
“QnnGpu” for QNN GPU. |
| backend::extensions | QNN HTP | Path to backend extensions configuration file. |
| QnnHtp::version | QNN HTP | Version of QnnHtp object that is supported by APIs. (1) |
| QnnHtp::spill-fill-bufsize | QNN HTP | Buffer size to pre-allocate for the QNN HTP spill fill.
This field depends upon the HTP VTCM memory size. It should
be set greater than the spill-fill required by each context
binary in the model. Consult the QNN HTP backend
documentation in the QAIRT SDK for more details. |
| QnnHtp::data-alignment-size | QNN HTP | Data will be aligned by rounding up the size to the nearest
multiple of alignment number. Typically should be zero. |
| QnnHtp::use-mmap | QNN HTP | Memory map the context binary files. Typically should be
turned on. |
| QnnHtp::mmap-budget | QNN HTP | Memory map the context binary files in chunks of the given
size. Typically should be 25MB. |
| QnnHtp::poll | QNN HTP | Specify whether to busy-wait on threads. |
| QnnHtp::pos-id-dim | QNN HTP | Dimension of positional embeddings, usually (kv-dim) / 2. |
| QnnHtp::cpumask | QNN HTP | CPU affinity mask. |
| QnnHtp::kv-dim | QNN HTP | Dimension of the KV-cache embedding. |
| QnnHtp::allow-async-init | QNN HTP | Allow context binaries to be initialized asynchronously
if the backend supports it. |
| QnnHtp::allow-async-enqueue | QNN HTP | Allow graph splits to be enqueued asynchronously for
execution. |
| QnnHtp::rope-theta | QNN HTP | Used to calculate rotary positional encodings. |
| QnnHtp::enable-graph-switching | QNN HTP | Enables graph switching for graphs within each context
binary. |
| QnnGenAiTransformer::version | QNN GenAiTransformer | Version of QnnGenAiTransformer object that is supported
by APIs. (1) |
| QnnGenAiTransformer::n-logits | QNN GenAiTransformer | Number of logit vectors that result will have for sampling. |
| QnnGenAiTransformer::n-layer | QNN GenAiTransformer | Number of decoder layers model is having. |
| QnnGenAiTransformer::n-embd | QNN GenAiTransformer | Size of embedding vector for each token. |
| QnnGenAiTransformer::n-heads | QNN GenAiTransformer | Number of heads model is having. |
| QnnGenAiTransformer::kv-quantization | QNN GenAiTransformer | Quantize KV Cache to Q8\_0\_32. |
| model::version | all backends | Version of model object that is supported by APIs. (1) |
| model::type | all backends | Type of model object “binary” for QNN HTP and “library”
for QNN GenAiTransformer. |
| model::positional-encoding | all backends | Captures positional encoding parameters for a model. |
| positional-encoding::type | all backends | Type of positional encoding. Supported types are rope,
alibi and absolute |
| positional-encoding::rope-dim | all backends | Dimension of Rope positional embeddings, usually
(kv-dim) / 2. |
| positional-encoding::rope-theta | all backends | Used to calculate rotary position encodings for type rope |
| binary::version | QNN HTP | Version of binary object that is supported by APIs. (1) |
| binary::ctx-bins | QNN HTP | List of serialized model files. |
| library::version | QNN GenAiTransformer | Version of library object that is supported by APIs. (1) |
| library::model-bin | QNN GenAiTransformer | Path to model.bin file. |
Text Encoder schema:
{
"text-encoder" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"context" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"ctx-size": {"type": "integer"},
"n-vocab": {"type": "integer"},
"embed-size": {"type": "integer"},
"pad-token": {"type": "integer"}
}
},
"prompt" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"prompt-template" : {"type": "array", "items": {"type": "string"}}
}
},
"tokenizer" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"path" : {"type": "string"}
}
},
"truncate-input" : {"type" : "boolean"},
"engine" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"n-threads" : {"type": "integer"},
"backend" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"type" : {"type": "string","enum" : ["QnnHtp", "QnnGenAiTransformer"]},
"QnnHtp" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"spill-fill-bufsize" : {"type": "integer"},
"data-alignment-size" : {"type": "integer"},
"use-mmap" : {"type": "boolean"},
"allow-async-init" : {"type": "boolean"},
"pooled-output" : {"type": "boolean"},
"disable-kv-cache" : {"type": "boolean"}
}
},
"QnnGenAiTransformer" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"n-layer" : {"type": "integer"},
"n-embd" : {"type": "integer"},
"n-heads" : {"type": "integer"}
}
},
"extensions" : {"type": "string"}
}
},
"model" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"type" : {"type": "string","enum":["binary", "library"]},
"binary" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"ctx-bins" : {"type": "array", "items": {"type": "string"}}
}
},
"library" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"model-bin" : {"type": "string"}
}
}
}
}
}
}
}
}
}
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| Option | Applicability | Description |
| --- | --- | --- |
| text-encoder::version | all backends | Version of encoder object that is supported by APIs.(1) |
| text-encoder::truncate-input | all backends | To allow truncation of input, when it exceeds the context
length. |
| context::version | all backends | Version of context object that is supported by APIs. (1) |
| context::ctx-size | all backends | Context length. Maximum number of tokens to process. |
| context::n-vocab | all backends | Model vocabulary size. |
| context::embed-size | all backends | Embedding length. Embedding vector length for each token. |
| context::pad-token | all backends | Token id for pad token. |
| prompt::version | all backends | Version of prompt object that is supported by APIs. (1) |
| prompt::prompt-template | all backends | Prefix and Suffix string that will be added to each
prompt. |
| tokenizer::version | all backends | Version of tokenizer object that is supported by APIs. (1) |
| tokenizer::path | all backends | Path to tokenizer file. |
| engine::version | all backends | Version of engine object that is supported by APIs. (1) |
| engine::n-threads | all backends | Number of threads to use for KV-cache updates. |
| backend::version | all backends | Version of backend object that is supported by APIs. (1) |
| backend::type | all backends | Type of engine like “QnnHtp” for QNN HTP and
“QnnGenAiTransformer” for QNN GenAITransformer backend. |
| backend::extensions | QNN HTP | Path to backend extensions configuration file. |
| QnnHtp::version | QNN HTP | Version of QnnHtp object that is supported by APIs. (1) |
| QnnHtp::spill-fill-bufsize | QNN HTP | Buffer size to pre-allocate for the QNN HTP spill fill.
This field depends upon the HTP VTCM memory size. It should
be set greater than the spill-fill required by each context
binary in the model. Consult the QNN HTP backend
documentation in the QAIRT SDK for more details. |
| QnnHtp::use-mmap | QNN HTP | Memory map the context binary files. Typically should be
turned on. |
| QnnHtp::data-alignment-size | QNN HTP | Data will be aligned by rounding up the size to the nearest
multiple of alignment number. Typically should be zero. |
| QnnHtp::allow-async-init | QNN HTP | Allow context binaries to be initialized asynchronously
if the backend supports it. |
| QnnHtp::pooled-output | QNN HTP | To decide in between pooled or per token embedding result
as generation result. |
| QnnHtp::disable-kv-cache | QNN HTP | Disables the KV cache Manager, as models will not have KV
cache. |
| QnnGenAiTransformer::version | QNN GenAiTransformer | Version of QnnGenAiTransformer object that is supported
by APIs. (1) |
| QnnGenAiTransformer::n-layer | QNN GenAiTransformer | Number of decoder layers model is having. |
| QnnGenAiTransformer::n-embd | QNN GenAiTransformer | Size of embedding vector for each token. |
| QnnGenAiTransformer::n-heads | QNN GenAiTransformer | Number of heads model is having. |
| model::version | all backends | Version of model object that is supported by APIs. (1) |
| model::type | all backends | Type of model object “binary” for QNN HTP and “library”
for QNN GenAiTransformer. |
| binary::version | QNN HTP | Version of binary object that is supported by APIs. (1) |
| binary::ctx-bins | QNN HTP | List of serialized model files. |
| library::version | QNN GenAiTransformer | Version of library object that is supported by APIs. (1) |
| library::model-bin | QNN GenAiTransformer | Path to model.bin file. |
Image Encoder schema:
{
"image-encoder" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"engine" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"n-threads" : {"type": "integer"},
"backend" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"type" : {"type": "string","enum" : ["QnnHtp"]},
"QnnHtp" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"spill-fill-bufsize" : {"type": "integer"},
"data-alignment-size" : {"type": "integer"},
"use-mmap" : {"type": "boolean"},
"allow-async-init" : {"type": "boolean"}
}
},
"extensions" : {"type": "string"}
}
},
"model" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"type" : {"type": "string","enum":["binary"]},
"binary" : {
"type": "object",
"properties": {
"version" : {"type": "integer"},
"ctx-bins" : {"type": "array", "items": {"type": "string"}}
}
}
}
}
}
}
}
}
}
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| Option | Applicability | Description |
| --- | --- | --- |
| image-encoder::version | all backends | Version of encoder object that is supported by APIs.(1) |
| engine::version | all backends | Version of engine object that is supported by APIs. (1) |
| engine::n-threads | all backends | Number of threads to use for KV-cache updates. |
| backend::version | all backends | Version of backend object that is supported by APIs. (1) |
| backend::type | all backends | Type of engine like “QnnHtp” for QNN HTP and
“QnnGenAiTransformer” for QNN GenAITransformer backend. |
| backend::extensions | QNN HTP | Path to backend extensions configuration file. |
| QnnHtp::version | QNN HTP | Version of QnnHtp object that is supported by APIs. (1) |
| QnnHtp::spill-fill-bufsize | QNN HTP | Buffer size to pre-allocate for the QNN HTP spill fill.
This field depends upon the HTP VTCM memory size. It should
be set greater than the spill-fill required by each context
binary in the model. Consult the QNN HTP backend
documentation in the QAIRT SDK for more details. |
| QnnHtp::use-mmap | QNN HTP | Memory map the context binary files. Typically should be
turned on. |
| QnnHtp::data-alignment-size | QNN HTP | Data will be aligned by rounding up the size to the nearest
multiple of alignment number. Typically should be zero. |
| QnnHtp::allow-async-init | QNN HTP | Allow context binaries to be initialized asynchronously
if the backend supports it. |
| QnnHtp::pooled-output | QNN HTP | To decide in between pooled or per token embedding result
as generation result. |
| QnnHtp::disable-kv-cache | QNN HTP | Disables the KV cache Manager, as models will not have KV
cache. |
| model::version | all backends | Version of model object that is supported by APIs. (1) |
| model::type | all backends | Type of model object “binary” for QNN HTP and “library”
for QNN GenAiTransformer. |
| binary::version | QNN HTP | Version of binary object that is supported by APIs. (1) |
| binary::ctx-bins | QNN HTP | List of serialized model files. |
Last Published: Aug 06, 2026
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