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55 changes: 55 additions & 0 deletions models/alibaba/pre-mock_new_gateway_session_affinity.yaml
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# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: alibaba
authType: api_key
apiSurface: openai-chat-completions
model: pre-mock_new_gateway_session_affinity
params:
- path: max_completion_tokens
type: integer
label: Max tokens
description: Maximum number of tokens to generate, including both reasoning and the final answer.
range:
min: 1
group: generation_length
- path: temperature
type: number
label: Temperature
description: Controls randomness. Lower values make outputs more focused; higher values make them more varied.
range:
min: 0
max: 1.9
step: 0.1
group: sampling
- path: top_p
type: number
label: Top P
description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.
range:
min: 0
max: 1
step: 0.01
group: sampling
- path: extra_body.top_k
type: integer
label: Top K
description: Limits generation to the selected number of highest-probability tokens. Values above 100 disable top-k sampling.
default: 20
range:
min: 0
group: sampling
- path: extra_body.enable_thinking
type: boolean
label: Enable thinking
description: Toggles the model's hybrid thinking mode, sent as a provider-specific extra body field on OpenAI-compatible clients.
default: true
group: reasoning
- path: extra_body.thinking_budget
type: integer
label: Thinking budget
description: Maximum number of tokens the model may spend on reasoning before it starts the final answer; defaults to the model's maximum reasoning length.
range:
min: 1
group: reasoning
applicability:
only:
extra_body.enable_thinking: true
66 changes: 66 additions & 0 deletions models/fireworks/muse-spark-open.yaml
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# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: fireworks
authType: api_key
apiSurface: openai-chat-completions
model: muse-spark-open
wireId: accounts/fireworks/models/muse-spark-open
params:
- path: max_tokens
type: integer
label: Max tokens
description: Maximum number of tokens to generate in the response.
range:
min: 1
group: generation_length
- path: temperature
type: number
label: Temperature
description: Controls randomness. Lower values make outputs more focused; higher values make them more varied.
range:
min: 0
max: 2
step: 0.1
group: sampling
- path: top_p
type: number
label: Top P
description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.
range:
min: 0
max: 1
step: 0.01
group: sampling
- path: top_k
type: integer
label: Top K
description: Limits token sampling to the top K most likely next tokens.
range:
min: 1
max: 100
group: sampling
- path: presence_penalty
type: number
label: Presence penalty
description: Penalizes tokens that have already appeared to encourage a wider variety of content.
range:
min: -2
max: 2
step: 0.1
group: sampling
- path: frequency_penalty
type: number
label: Frequency penalty
description: Penalizes tokens in proportion to how often they have already appeared.
range:
min: -2
max: 2
step: 0.1
group: sampling
- path: response_format.type
type: enum
label: Response format
description: Choose plain text or force valid JSON output.
values:
- text
- json_object
group: output_format
51 changes: 51 additions & 0 deletions models/nvidia/nemotron-3.5-super-vl-120b-a12b.yaml
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# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: nvidia
authType: api_key
apiSurface: openai-chat-completions
model: nemotron-3.5-super-vl-120b-a12b
wireId: nvidia/nemotron-3.5-super-vl-120b-a12b
params:
- path: temperature
type: number
label: Temperature
description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
default: 1
range:
max: 1
group: sampling
- path: top_p
type: number
label: Top P
description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
default: 0.95
range:
max: 1
group: sampling
- path: max_tokens
type: integer
label: Max tokens
description: Maximum number of tokens to generate. Generation stops when this limit is reached.
default: 16384
range:
min: 1
max: 32768
group: generation_length
- path: reasoning_effort
type: enum
label: Reasoning effort
description: Controls the reasoning mode. 'none' disables reasoning tokens, 'low' enables low-effort reasoning, and 'high' enables full reasoning.
default: high
values:
- none
- low
- high
group: reasoning
- path: reasoning_budget
type: integer
label: Reasoning budget
description: Maximum number of tokens the model may use for internal reasoning before being forced to end the reasoning trace. Use -1 to disable budget enforcement.
default: 16384
range:
min: -1
max: 32768
group: reasoning
51 changes: 51 additions & 0 deletions models/nvidia/step-5-preview.yaml
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# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: nvidia
authType: api_key
apiSurface: openai-chat-completions
model: step-5-preview
wireId: stepfun-ai/step-5-preview
params:
- path: temperature
type: number
label: Temperature
description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
default: 0.6
range:
min: 0
max: 1
group: sampling
- path: top_p
type: number
label: Top P
description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
default: 0.95
range:
max: 1
group: sampling
- path: max_tokens
type: integer
label: Max tokens
description: Maximum number of tokens to generate. Generation stops when this limit is reached.
default: 4096
range:
min: 1
max: 16384
group: generation_length
- path: frequency_penalty
type: number
label: Frequency penalty
description: Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
default: 0
range:
min: -2
max: 2
group: sampling
- path: presence_penalty
type: number
label: Presence penalty
description: Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
default: 0
range:
min: -2
max: 2
group: sampling
2 changes: 1 addition & 1 deletion models/xai/grok-4.7.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ params:
description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.
default: 1
range:
min: 0
min: 0.01
max: 1
step: 0.01
group: sampling
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