You're looking at a specific version of this model. Jump to the model overview.
peter65374 /openbuddy-llemma-34b-gguf:5ebb3f43
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
None
|
|
| max_new_tokens |
integer
|
1024
Min: 1 Max: 3500 |
The maximum number of tokens the model should generate as output.
|
| temperature |
number
|
0.7
|
The value used to modulate the next token probabilities.
|
| top_p |
number
|
0.95
Min: 0.01 Max: 1 |
A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).
|
| top_k |
integer
|
40
Min: 1 Max: 100 |
The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).
|
| do_sample |
boolean
|
True
|
Whether or not to use sampling ; use greedy decoding otherwise.
|
| num_beams |
integer
|
1
Min: 1 Max: 10 |
Number of beams for beam search. 1 means no beam search.
|
| repetition_penalty |
number
|
1.1
Min: 0.01 Max: 5 |
Repetition penalty, (float, *optional*, defaults to 1.0): The parameter for repetition penalty. 1.0 means no penalty. values greater than 1 discourage repetition, less than 1 encourage it. See [this paper](https://arxiv.org/pdf/1909.05858.pdf) for more details.
|
| presence_penalty |
number
|
0
|
Repeat alpha presence penalty (default: 0.0, 0.0 = disabled).
|
| frequency_penalty |
number
|
0
|
Repeat alpha frequency penalty (default: 0.0, 0.0 = disabled)
|
| prompt_template |
string
|
You are a helpful high school Math tutor. If you don't know the answer to a question, please don't share false information. You can speak fluently in many languages.
User: Hi
Assistant: Hello, how can I help you?</s>
User: {prompt}
Assistant:
|
The template used to format the prompt. The input prompt is inserted into the template using the `{prompt}` placeholder.
|
| padding_mode |
boolean
|
True
|
Whether to pad the left side of the prompt with eos token.
|
| stop_sequences |
string
|
A comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of 'end' or '<stop>'.
|
|
| debug |
boolean
|
False
|
provide debugging output in logs
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'type': 'string'},
'title': 'Output',
'type': 'array',
'x-cog-array-display': 'concatenate',
'x-cog-array-type': 'iterator'}