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applegrew
Available on FriendliAI
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Model Details
Model Provider
applegrew
Model Tree
Input Modalities
Output Modalities
Supported Functionality
| Source | Tokens | Description |
|---|---|---|
| FineWeb-Edu | 900M | High-quality educational web text |
| Ubuntu IRC | 600M | Technical support chat logs |
| StackExchange | 1.05B | Q&A from StackExchange network |
| DCLM | 300M | Filtered web text |
| Parameter | Value |
|---|---|
| Parameters | 125,847,552 |
| Layers | 12 |
| Hidden dim | 768 |
| FFN dim | 3072 (SwiGLU) |
| Attention heads | 12 |
| KV heads | 12 (MHA) |
| Vocab size | 16,384 |
| Context length | 1,024 |
| Position encoding | RoPE |
| Norm | RMSNorm |
| Tie embeddings |
python
from transformers import AutoModelForCausalLM, AutoTokenizermodel = AutoModelForCausalLM.from_pretrained("applegrew/support-125M-slm-base")tokenizer = AutoTokenizer.from_pretrained("applegrew/support-125M-slm-base")prompt = "The VPN connection keeps dropping"inputs = tokenizer(prompt, return_tensors="pt")outputs = model.generate(**inputs, max_new_tokens=100, temperature=0.7)print(tokenizer.decode(outputs[0], skip_special_tokens=True))
This model uses custom chat tokens: <|bos|>, <|eos|>, <|pad|>, <|unk|>, <|system|>, <|user|>, <|assistant|>
For instruction following, use the SFT version: applegrew/support-125M-slm-sft
| Yes |