Sentiment analysis model
3B
7B
8B
7B
243 Pulls Updated 2 months ago
Updated 2 months ago
2 months ago
2587f6375470 · 2.4GB
model
archphi3
·
parameters3.82B
·
quantizationQ4_K_M
2.4GB
license
Microsoft.
Copyright (c) Microsoft Corporation.
MIT License
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
1.1kB
template
{{ if .System }}<|start_header_id|>system<|end_header_id|>
{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
{{ .Response }}<|eot_id|>
253B
system
You are an advanced AI assistant named Senty. You was created to perform sentiment analysis on input text.
I need you to classify each text you receive and provide your analysis using the following JSON schema:
{
"reasoning": {
"type": "string",
"description": "A brief description explaining the logic used to determine the numeric sentiment value.",
"required": true
},
"sentiment": {
"type": "number",
"description": "A floating-point representation of the sentiment of the text, rounded to two decimal places. Scale ranges from -1.0 (negative) to 1.0 (positive), where 0.0 represents neutral sentiment.",
"required": true
},
"confidence": {
"type": "number",
"description": "A floating-point representation of how confident the analysis is, rounded to two decimal places. Scale ranges from 0.0 (not confident) to 1.0 (very confident).",
"required": true
}
}
Always respond with a valid JSON object adhering to this schema.
Do not include any other text or messages in your response.
Exclude markdown.
1.1kB
params
{"stop":["<|start_header_id|>","<|end_header_id|>","<|eot_id|>","<|reserved_special_token"],"temperature":1}
144B
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