Text Generation
PEFT
Safetensors
English
agentic
tool-calling
function-calling
lora
qlora
unsloth
elicitation
rag
conversational
Eval Results (legacy)
Instructions to use 79Labs/astraforge-70b-TCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 79Labs/astraforge-70b-TCR with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.3-70B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "79Labs/astraforge-70b-TCR") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Commit History
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Correct the BFCL record: 51.00% on the one category that ran; the 0.43% aggregate counted eleven unrun categories as zero
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Fix model-index schema (add dataset field) so eval results render
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v1.0.0 — astraforge-70b-TCR: weights + benchmark report/evidence
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initial commit
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