Text Generation
Transformers
Safetensors
English
llama
supra
chimera
50m
small
open
open-source
cpu
tiny
slm
text-generation-inference
Instructions to use SupraLabs/Supra-50M-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SupraLabs/Supra-50M-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SupraLabs/Supra-50M-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SupraLabs/Supra-50M-Base") model = AutoModelForCausalLM.from_pretrained("SupraLabs/Supra-50M-Base") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SupraLabs/Supra-50M-Base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SupraLabs/Supra-50M-Base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SupraLabs/Supra-50M-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SupraLabs/Supra-50M-Base
- SGLang
How to use SupraLabs/Supra-50M-Base with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "SupraLabs/Supra-50M-Base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SupraLabs/Supra-50M-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "SupraLabs/Supra-50M-Base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SupraLabs/Supra-50M-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SupraLabs/Supra-50M-Base with Docker Model Runner:
docker model run hf.co/SupraLabs/Supra-50M-Base
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| arc_easy | 1 | none | 0 | acc | ↑ | 0.5223 | ± | 0.0102 |
| none | 0 | acc_norm | ↑ | 0.4600 | ± | 0.0102 | ||
| blimp | 2 | none | acc | ↑ | 0.7631 | ± | 0.0014 | |
| - blimp_adjunct_island | 1 | none | 0 | acc | ↑ | 0.8420 | ± | 0.0115 |
| - blimp_anaphor_gender_agreement | 1 | none | 0 | acc | ↑ | 0.8430 | ± | 0.0115 |
| - blimp_anaphor_number_agreement | 1 | none | 0 | acc | ↑ | 0.9620 | ± | 0.0060 |
| - blimp_animate_subject_passive | 1 | none | 0 | acc | ↑ | 0.7820 | ± | 0.0131 |
| - blimp_animate_subject_trans | 1 | none | 0 | acc | ↑ | 0.8040 | ± | 0.0126 |
| - blimp_causative | 1 | none | 0 | acc | ↑ | 0.6980 | ± | 0.0145 |
| - blimp_complex_NP_island | 1 | none | 0 | acc | ↑ | 0.4940 | ± | 0.0158 |
| - blimp_coordinate_structure_constraint_complex_left_branch | 1 | none | 0 | acc | ↑ | 0.7420 | ± | 0.0138 |
| - blimp_coordinate_structure_constraint_object_extraction | 1 | none | 0 | acc | ↑ | 0.7520 | ± | 0.0137 |
| - blimp_determiner_noun_agreement_1 | 1 | none | 0 | acc | ↑ | 0.9790 | ± | 0.0045 |
| - blimp_determiner_noun_agreement_2 | 1 | none | 0 | acc | ↑ | 0.9680 | ± | 0.0056 |
| - blimp_determiner_noun_agreement_irregular_1 | 1 | none | 0 | acc | ↑ | 0.8990 | ± | 0.0095 |
| - blimp_determiner_noun_agreement_irregular_2 | 1 | none | 0 | acc | ↑ | 0.9650 | ± | 0.0058 |
| - blimp_determiner_noun_agreement_with_adj_2 | 1 | none | 0 | acc | ↑ | 0.9340 | ± | 0.0079 |
| - blimp_determiner_noun_agreement_with_adj_irregular_1 | 1 | none | 0 | acc | ↑ | 0.8740 | ± | 0.0105 |
| - blimp_determiner_noun_agreement_with_adj_irregular_2 | 1 | none | 0 | acc | ↑ | 0.9270 | ± | 0.0082 |
| - blimp_determiner_noun_agreement_with_adjective_1 | 1 | none | 0 | acc | ↑ | 0.9410 | ± | 0.0075 |
| - blimp_distractor_agreement_relational_noun | 1 | none | 0 | acc | ↑ | 0.8780 | ± | 0.0104 |
| - blimp_distractor_agreement_relative_clause | 1 | none | 0 | acc | ↑ | 0.7210 | ± | 0.0142 |
| - blimp_drop_argument | 1 | none | 0 | acc | ↑ | 0.7500 | ± | 0.0137 |
| - blimp_ellipsis_n_bar_1 | 1 | none | 0 | acc | ↑ | 0.8060 | ± | 0.0125 |
| - blimp_ellipsis_n_bar_2 | 1 | none | 0 | acc | ↑ | 0.8820 | ± | 0.0102 |
| - blimp_existential_there_object_raising | 1 | none | 0 | acc | ↑ | 0.8750 | ± | 0.0105 |
| - blimp_existential_there_quantifiers_1 | 1 | none | 0 | acc | ↑ | 0.9730 | ± | 0.0051 |
| - blimp_existential_there_quantifiers_2 | 1 | none | 0 | acc | ↑ | 0.2070 | ± | 0.0128 |
| - blimp_existential_there_subject_raising | 1 | none | 0 | acc | ↑ | 0.8810 | ± | 0.0102 |
| - blimp_expletive_it_object_raising | 1 | none | 0 | acc | ↑ | 0.7830 | ± | 0.0130 |
| - blimp_inchoative | 1 | none | 0 | acc | ↑ | 0.6330 | ± | 0.0152 |
| - blimp_intransitive | 1 | none | 0 | acc | ↑ | 0.7310 | ± | 0.0140 |
| - blimp_irregular_past_participle_adjectives | 1 | none | 0 | acc | ↑ | 0.8620 | ± | 0.0109 |
| - blimp_irregular_past_participle_verbs | 1 | none | 0 | acc | ↑ | 0.8930 | ± | 0.0098 |
| - blimp_irregular_plural_subject_verb_agreement_1 | 1 | none | 0 | acc | ↑ | 0.8990 | ± | 0.0095 |
| - blimp_irregular_plural_subject_verb_agreement_2 | 1 | none | 0 | acc | ↑ | 0.9030 | ± | 0.0094 |
| - blimp_left_branch_island_echo_question | 1 | none | 0 | acc | ↑ | 0.3810 | ± | 0.0154 |
| - blimp_left_branch_island_simple_question | 1 | none | 0 | acc | ↑ | 0.6470 | ± | 0.0151 |
| - blimp_matrix_question_npi_licensor_present | 1 | none | 0 | acc | ↑ | 0.1260 | ± | 0.0105 |
| - blimp_npi_present_1 | 1 | none | 0 | acc | ↑ | 0.5710 | ± | 0.0157 |
| - blimp_npi_present_2 | 1 | none | 0 | acc | ↑ | 0.6190 | ± | 0.0154 |
| - blimp_only_npi_licensor_present | 1 | none | 0 | acc | ↑ | 0.6250 | ± | 0.0153 |
| - blimp_only_npi_scope | 1 | none | 0 | acc | ↑ | 0.5360 | ± | 0.0158 |
| - blimp_passive_1 | 1 | none | 0 | acc | ↑ | 0.8770 | ± | 0.0104 |
| - blimp_passive_2 | 1 | none | 0 | acc | ↑ | 0.8840 | ± | 0.0101 |
| - blimp_principle_A_c_command | 1 | none | 0 | acc | ↑ | 0.5560 | ± | 0.0157 |
| - blimp_principle_A_case_1 | 1 | none | 0 | acc | ↑ | 1.0000 | ± | 0 |
| - blimp_principle_A_case_2 | 1 | none | 0 | acc | ↑ | 0.9650 | ± | 0.0058 |
| - blimp_principle_A_domain_1 | 1 | none | 0 | acc | ↑ | 0.9430 | ± | 0.0073 |
| - blimp_principle_A_domain_2 | 1 | none | 0 | acc | ↑ | 0.8040 | ± | 0.0126 |
| - blimp_principle_A_domain_3 | 1 | none | 0 | acc | ↑ | 0.5200 | ± | 0.0158 |
| - blimp_principle_A_reconstruction | 1 | none | 0 | acc | ↑ | 0.2920 | ± | 0.0144 |
| - blimp_regular_plural_subject_verb_agreement_1 | 1 | none | 0 | acc | ↑ | 0.8930 | ± | 0.0098 |
| - blimp_regular_plural_subject_verb_agreement_2 | 1 | none | 0 | acc | ↑ | 0.9110 | ± | 0.0090 |
| - blimp_sentential_negation_npi_licensor_present | 1 | none | 0 | acc | ↑ | 0.9930 | ± | 0.0026 |
| - blimp_sentential_negation_npi_scope | 1 | none | 0 | acc | ↑ | 0.7100 | ± | 0.0144 |
| - blimp_sentential_subject_island | 1 | none | 0 | acc | ↑ | 0.3310 | ± | 0.0149 |
| - blimp_superlative_quantifiers_1 | 1 | none | 0 | acc | ↑ | 0.7800 | ± | 0.0131 |
| - blimp_superlative_quantifiers_2 | 1 | none | 0 | acc | ↑ | 0.7450 | ± | 0.0138 |
| - blimp_tough_vs_raising_1 | 1 | none | 0 | acc | ↑ | 0.5390 | ± | 0.0158 |
| - blimp_tough_vs_raising_2 | 1 | none | 0 | acc | ↑ | 0.8780 | ± | 0.0104 |
| - blimp_transitive | 1 | none | 0 | acc | ↑ | 0.8430 | ± | 0.0115 |
| - blimp_wh_island | 1 | none | 0 | acc | ↑ | 0.7190 | ± | 0.0142 |
| - blimp_wh_questions_object_gap | 1 | none | 0 | acc | ↑ | 0.7590 | ± | 0.0135 |
| - blimp_wh_questions_subject_gap | 1 | none | 0 | acc | ↑ | 0.9280 | ± | 0.0082 |
| - blimp_wh_questions_subject_gap_long_distance | 1 | none | 0 | acc | ↑ | 0.8550 | ± | 0.0111 |
| - blimp_wh_vs_that_no_gap | 1 | none | 0 | acc | ↑ | 0.9490 | ± | 0.0070 |
| - blimp_wh_vs_that_no_gap_long_distance | 1 | none | 0 | acc | ↑ | 0.9490 | ± | 0.0070 |
| - blimp_wh_vs_that_with_gap | 1 | none | 0 | acc | ↑ | 0.5920 | ± | 0.0155 |
| - blimp_wh_vs_that_with_gap_long_distance | 1 | none | 0 | acc | ↑ | 0.3280 | ± | 0.0149 |
| hellaswag | 1 | none | 0 | acc | ↑ | 0.2914 | ± | 0.0045 |
| none | 0 | acc_norm | ↑ | 0.3178 | ± | 0.0046 | ||
| lambada_openai | 1 | none | 0 | acc | ↑ | 0.2591 | ± | 0.0061 |
| none | 0 | perplexity | ↓ | 95.5121 | ± | 4.1325 | ||
| lambada_standard | 1 | none | 0 | acc | ↑ | 0.1716 | ± | 0.0053 |
| none | 0 | perplexity | ↓ | 488.2170 | ± | 23.4634 | ||
| piqa | 1 | none | 0 | acc | ↑ | 0.6224 | ± | 0.0113 |
| none | 0 | acc_norm | ↑ | 0.6208 | ± | 0.0113 | ||
| sciq | 1 | none | 0 | acc | ↑ | 0.7720 | ± | 0.0133 |
| none | 0 | acc_norm | ↑ | 0.6810 | ± | 0.0147 | ||
| wikitext | 2 | none | 0 | bits_per_byte | ↓ | 1.0267 | ± | N/A |
| none | 0 | byte_perplexity | ↓ | 2.0374 | ± | N/A | ||
| none | 0 | word_perplexity | ↓ | 44.9548 | ± | N/A | ||
| winogrande | 1 | none | 0 | acc | ↑ | 0.5099 | ± | 0.0140 |
| Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| blimp | 2 | none | acc | ↑ | 0.7631 | ± | 0.0014 |