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
File size: 11,272 Bytes
a795f8c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | | 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|
|