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import React, { useState } from "react";
import {
Box,
Paper,
Typography,
TextField,
Button,
Stack,
Grid,
CircularProgress,
Alert,
} from "@mui/material";
import RocketLaunchIcon from "@mui/icons-material/RocketLaunch";
import CheckCircleOutlineIcon from "@mui/icons-material/CheckCircleOutline";
import { alpha } from "@mui/material/styles";
import InfoIconWithTooltip from "../../../../components/shared/InfoIconWithTooltip";
import AuthContainer from "../../../../components/shared/AuthContainer";
const HELP_TEXTS = {
modelName: (
<Box sx={{ p: 1 }}>
<Typography variant="subtitle2" sx={{ fontWeight: 600, mb: 0.5 }}>
Model Name on Hugging Face Hub
</Typography>
<Typography variant="body2" sx={{ opacity: 0.9, lineHeight: 1.4 }}>
Your model must be public and loadable with AutoClasses without
trust_remote_code. The model should be in Safetensors format for better
safety and loading performance. Example: mistralai/Mistral-7B-v0.1
</Typography>
</Box>
),
revision: (
<Box sx={{ p: 1 }}>
<Typography variant="subtitle2" sx={{ fontWeight: 600, mb: 0.5 }}>
Model Revision
</Typography>
<Typography variant="body2" sx={{ opacity: 0.9, lineHeight: 1.4 }}>
Git branch, tag or commit hash. The evaluation will be strictly tied to
this specific commit to ensure consistency. Make sure this version is
stable and contains all necessary files.
</Typography>
</Box>
),
modelType: (
<Box sx={{ p: 1 }}>
<Typography variant="subtitle2" sx={{ fontWeight: 600, mb: 0.5 }}>
Model Category
</Typography>
<Typography variant="body2" sx={{ opacity: 0.9, lineHeight: 1.4 }}>
🟢 Pretrained: Base models trained on text using masked modeling 🟩
Continuously Pretrained: Extended training on additional corpus 🔶
Fine-tuned: Domain-specific optimization 💬 Chat: Models using RLHF,
DPO, or IFT for conversation 🤝 Merge: Combined weights without
additional training 🌸 Multimodal: Handles multiple input types
</Typography>
</Box>
),
baseModel: (
<Box sx={{ p: 1 }}>
<Typography variant="subtitle2" sx={{ fontWeight: 600, mb: 0.5 }}>
Base Model Reference
</Typography>
<Typography variant="body2" sx={{ opacity: 0.9, lineHeight: 1.4 }}>
Required for delta weights or adapters. This information is used to
identify the original model and calculate the total parameter count by
combining base model and adapter/delta parameters.
</Typography>
</Box>
),
precision: (
<Box sx={{ p: 1 }}>
<Typography variant="subtitle2" sx={{ fontWeight: 600, mb: 0.5 }}>
Model Precision
</Typography>
<Typography variant="body2" sx={{ opacity: 0.9, lineHeight: 1.4 }}>
Size limits vary by precision: • FP16/BF16: up to 100B parameters •
8-bit: up to 280B parameters (2x) • 4-bit: up to 560B parameters (4x)
Choose carefully as incorrect precision can cause evaluation errors.
</Typography>
</Box>
),
weightsType: (
<Box sx={{ p: 1 }}>
<Typography variant="subtitle2" sx={{ fontWeight: 600, mb: 0.5 }}>
Weights Format
</Typography>
<Typography variant="body2" sx={{ opacity: 0.9, lineHeight: 1.4 }}>
Original: Complete model weights in safetensors format Delta: Weight
differences from base model (requires base model for size calculation)
Adapter: Lightweight fine-tuning layers (requires base model for size
calculation)
</Typography>
</Box>
),
chatTemplate: (
<Box sx={{ p: 1 }}>
<Typography variant="subtitle2" sx={{ fontWeight: 600, mb: 0.5 }}>
Chat Template Support
</Typography>
<Typography variant="body2" sx={{ opacity: 0.9, lineHeight: 1.4 }}>
Activates automatically for chat models. It uses the standardized
Hugging Face chat template for consistent prompt formatting during
evaluation. Required for models using RLHF, DPO, or instruction
fine-tuning.
</Typography>
</Box>
),
};
function ModelSubmissionForm({ user, isAuthenticated }) {
const [formData, setFormData] = useState({
modelName: "",
revision: "main",
modelType: "fine-tuned",
isChatModel: false,
useChatTemplate: false,
precision: "float16",
weightsType: "Original",
baseModel: "",
});
const [error, setError] = useState(null);
const [submitting, setSubmitting] = useState(false);
const [success, setSuccess] = useState(false);
const [submittedData, setSubmittedData] = useState(null);
const handleChange = (event) => {
const { name, value, checked } = event.target;
setFormData((prev) => ({
...prev,
[name]: event.target.type === "checkbox" ? checked : value,
}));
};
const handleSubmit = async (e) => {
e.preventDefault();
setError(null);
setSubmitting(true);
if (window.gtag && formData.modelName) {
window.gtag("event", "submit_model", {
model: formData.modelName,
});
}
try {
const response = await fetch("/api/models/submit", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({
model_id: formData.modelName,
revision: formData.revision,
precision: formData.precision,
weight_type: formData.weightsType,
base_model: formData.baseModel,
use_chat_template: formData.useChatTemplate,
user_id: user.username,
}),
});
if (!response.ok) {
const error = await response.json();
throw new Error(error.detail || "Failed to submit model");
}
setSubmittedData(formData);
setSuccess(true);
} catch (error) {
setError(error.message);
} finally {
setSubmitting(false);
}
};
if (success && submittedData) {
return (
<Paper
variant="outlined"
sx={(theme) => ({
p: 6,
mb: 3,
bgcolor: alpha(theme.palette.success.main, 0.05),
borderColor: alpha(theme.palette.success.main, 0.2),
})}
>
<Stack spacing={3}>
<Stack direction="row" spacing={2} alignItems="center">
<CheckCircleOutlineIcon color="success" sx={{ fontSize: 28 }} />
<Typography
variant="h5"
sx={{ fontWeight: 600, color: "success.800" }}
>
Model submitted successfully!
</Typography>
</Stack>
<Typography variant="body1">
Your model <strong>{submittedData.modelName}</strong> has been added
to the evaluation queue.
</Typography>
<Typography variant="body2" color="text.secondary">
An automatic upvote has been added to your model to help with
prioritization.
</Typography>
<Stack direction="row" spacing={2}>
<Button
variant="outlined"
size="large"
onClick={() => {
setSuccess(false);
setSubmittedData(null);
setFormData({
modelName: "",
revision: "main",
modelType: "fine-tuned",
isChatModel: false,
useChatTemplate: false,
precision: "float16",
weightsType: "Original",
baseModel: "",
});
}}
>
Submit another model
</Button>
</Stack>
</Stack>
</Paper>
);
}
return (
<>
{error && (
<Alert severity="error" sx={{ mb: 2 }}>
{error}
</Alert>
)}
<AuthContainer actionText="submit a model" />
{isAuthenticated && (
<Paper
elevation={0}
component="form"
onSubmit={handleSubmit}
sx={{
p: 0,
border: "1px solid",
borderColor: "grey.300",
mb: 3,
overflow: "hidden",
}}
>
{/* Header */}
<Box
sx={{
px: 3,
py: 2,
borderBottom: "1px solid",
borderColor: (theme) =>
theme.palette.mode === "dark"
? alpha(theme.palette.divider, 0.1)
: "grey.200",
bgcolor: (theme) =>
theme.palette.mode === "dark"
? alpha(theme.palette.background.paper, 0.5)
: "grey.50",
}}
>
<Typography
variant="h6"
sx={{ fontWeight: 600, color: "text.primary" }}
>
Model Submission Form
</Typography>
</Box>
{/* Form Content */}
<Box sx={{ p: 3 }}>
<Grid container spacing={3}>
{/* Model Information */}
<Grid item xs={12}>
<Stack direction="row" spacing={1} alignItems="center">
<Typography variant="h6">Model Information</Typography>
<InfoIconWithTooltip tooltip={HELP_TEXTS.modelName} />
</Stack>
</Grid>
<Grid item xs={12} sm={8}>
<TextField
required
fullWidth
name="modelName"
label="Model Name"
placeholder="organization/model-name"
value={formData.modelName}
onChange={handleChange}
helperText="Example: meta-llama/Llama-3.2-1B"
InputProps={{
endAdornment: (
<InfoIconWithTooltip tooltip={HELP_TEXTS.modelName} />
),
}}
/>
</Grid>
{/* Submit Button */}
<Grid item xs={12}>
<Box
sx={{
display: "flex",
justifyContent: "space-between",
alignItems: "center",
mt: 2,
}}
>
<Typography variant="body2" color="text.secondary">
All fields marked with * are required
</Typography>
<Button
type="submit"
variant="contained"
disabled={submitting}
endIcon={submitting ? null : <RocketLaunchIcon />}
sx={{
minWidth: 120,
position: "relative",
}}
>
{submitting ? (
<CircularProgress size={24} color="inherit" />
) : (
"Submit"
)}
</Button>
</Box>
</Grid>
</Grid>
</Box>
</Paper>
)}
</>
);
}
export default ModelSubmissionForm;
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