Instructions to use 79Labs/astraforge-8b-TCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 79Labs/astraforge-8b-TCR with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "79Labs/astraforge-8b-TCR") - Notebooks
- Google Colab
- Kaggle
v3.0.0: all-domain distillation arm (distill4/ck54) replaces v2.0.0 (ck2079); bfcl_all 0.829 [0.802,0.853] vs 0.556 [0.522,0.589] n=840, same session; irrelevance 0.930/0.790 vs 0.010/0.050
Browse files- benchmarks/v3.0.0_bfcl_v4.json +111 -0
benchmarks/v3.0.0_bfcl_v4.json
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{
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"tag": "astraforge-distill4_ck54_1014T0517",
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"bfcl_irrelevance": {
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"n": 100,
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"acc": 0.93,
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"ci95": [
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0.863,
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0.966
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]
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},
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"bfcl_live_irrelevance": {
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"n": 100,
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"acc": 0.79,
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"ci95": [
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0.7,
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0.858
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]
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},
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"bfcl_live_multiple": {
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"n": 100,
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"acc": 0.75,
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"ci95": [
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0.657,
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0.825
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]
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},
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"bfcl_live_parallel": {
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"n": 16,
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"acc": 0.688,
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"ci95": [
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0.444,
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0.858
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]
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},
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"bfcl_live_parallel_multiple": {
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"n": 24,
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"acc": 0.625,
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"ci95": [
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0.427,
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0.788
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]
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},
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"bfcl_live_simple": {
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"n": 100,
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"acc": 0.69,
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"ci95": [
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0.594,
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0.772
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]
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},
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"bfcl_multiple": {
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"n": 100,
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"acc": 0.9,
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"ci95": [
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0.826,
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0.945
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]
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},
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"bfcl_parallel": {
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"n": 100,
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"acc": 0.85,
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"ci95": [
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0.767,
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0.907
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]
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},
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"bfcl_parallel_multiple": {
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"n": 100,
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"acc": 0.85,
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"ci95": [
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0.767,
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0.907
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]
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},
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"bfcl_simple": {
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"n": 100,
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"acc": 0.94,
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"ci95": [
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0.875,
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0.972
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]
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},
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"multi_domain": {
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"n": 100,
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"acc": 0.73,
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"ci95": [
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0.636,
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0.807
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],
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"tool_recall": 0.878,
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"names_ok": 0.83
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},
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"unseen_family": {
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"n": 100,
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"acc": 1.0,
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"ci95": [
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0.963,
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1.0
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],
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"tool_recall": 1.0,
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"names_ok": 1.0
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},
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"bfcl_all": {
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"n": 840,
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"acc": 0.829,
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"ci95": [
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0.802,
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0.853
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]
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}
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}
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