MLX
Joblib
Safetensors
English
reasoning
chain-of-thought
context-compression
soft-prompt
apple-silicon
Instructions to use baya1116/hypernet-sp-distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use baya1116/hypernet-sp-distill with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir hypernet-sp-distill baya1116/hypernet-sp-distill
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Ctrl+K
- _run_ff_q4
- ondevice_recall
- recall_contrastive_v1
- recall_contrastive_v2
- recall_contrastive_v3
- recall_kit_v4
- recall_mix_v1
- recall_q4
- results_chat_demo
- results_chat_demo_con
- results_chat_recall
- results_composite
- results_cotscan_live
- results_cotscan_live_v2
- results_dolphin
- results_dolphin_bge
- results_dolphin_dump
- results_dolphin_solve
- results_dolphin_solveB
- results_dolphin_trace
- results_explore
- results_gate_v3_q4
- results_gsm8k
- results_gsm8k_v2
- results_gsm8k_v3
- results_gsm8k_v4
- results_gsm_fullkv
- results_gsm_gate
- results_gsm_new
- results_gsm_new2
- results_gsm_new3
- results_gsm_new4
- results_gsm_rw1024
- results_gsm_sp1024
- results_gsm_sp1024b
- results_gsm_sp512
- results_knowgap
- results_knowref
- results_recall_gen
- results_recall_gen_q4
- results_recall_q4_newgate
- results_recall_q4_oldgate
- 12.3 kB
- 1.55 kB
- 11 kB
- 18 kB