Instructions to use chendren/deepseek-llm-7b-telecom-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chendren/deepseek-llm-7b-telecom-finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-llm-7b-base") model = PeftModel.from_pretrained(base_model, "chendren/deepseek-llm-7b-telecom-finetuned") - Notebooks
- Google Colab
- Kaggle
DeepSeek-LLM 7B telecom LoRA (legacy)
LoRA on deepseek-ai/deepseek-llm-7b-base for telecom support, network, and regulatory prose.
Legacy, incomplete eval. The private training set is not on the Hub. Trainer logs show validation loss near 0.071 through epoch 1, then collapse: train loss 0.0 and validation nan from step 4000. Treat the published adapter as an interrupted run, not a measured telecom expert.
Process-control CX: Immortalis/cx-comply.
Training (as logged)
- LoRA rank 16, alpha 32, target q/k/v/o/gate/up/down
- ~15,756 train / 1,753 val examples claimed (unaudited)
- 3 planned epochs, seq 512, fp16, MPS, ~68 hours
- Best finite eval loss in the table: 0.0707 at step 1800
- Do not cite the later nan rows as a result
License
Inherits DeepSeek-LLM terms (license: other). The repo is gated because of that base license.
Limits
- No held-out task metric (accuracy, factuality, or compliance)
- Not a substitute for carrier policy engines
- Prefer later CX process labels over this domain SFT
- Downloads last month
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Model tree for chendren/deepseek-llm-7b-telecom-finetuned
Base model
deepseek-ai/deepseek-llm-7b-base