Text Generation
Transformers
Safetensors
English
llama
small
cpu
supra
v5
tiny
mini
open
open-source
text-generation-inference
Instructions to use SupraLabs/Supra-Mini-v5-8M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SupraLabs/Supra-Mini-v5-8M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SupraLabs/Supra-Mini-v5-8M")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SupraLabs/Supra-Mini-v5-8M") model = AutoModelForCausalLM.from_pretrained("SupraLabs/Supra-Mini-v5-8M") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SupraLabs/Supra-Mini-v5-8M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SupraLabs/Supra-Mini-v5-8M" # 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-Mini-v5-8M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SupraLabs/Supra-Mini-v5-8M
- SGLang
How to use SupraLabs/Supra-Mini-v5-8M 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-Mini-v5-8M" \ --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-Mini-v5-8M", "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-Mini-v5-8M" \ --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-Mini-v5-8M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SupraLabs/Supra-Mini-v5-8M with Docker Model Runner:
docker model run hf.co/SupraLabs/Supra-Mini-v5-8M
File size: 9,777 Bytes
d467b07 | 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 | | Tasks |Version|Filter|n-shot| Metric | | Value | |Stderr|
|------------------------------------------------------------|------:|------|-----:|---------------|---|-------:|---|------|
|arc_easy | 1|none | 0|acc |↑ | 0.3439|± |0.0097|
| | |none | 0|acc_norm |↑ | 0.3346|± |0.0097|
|blimp | 2|none | |acc |↑ | 0.6349|± |0.0016|
| - blimp_adjunct_island | 1|none | 0|acc |↑ | 0.7990|± |0.0127|
| - blimp_anaphor_gender_agreement | 1|none | 0|acc |↑ | 0.3290|± |0.0149|
| - blimp_anaphor_number_agreement | 1|none | 0|acc |↑ | 0.6330|± |0.0152|
| - blimp_animate_subject_passive | 1|none | 0|acc |↑ | 0.6550|± |0.0150|
| - blimp_animate_subject_trans | 1|none | 0|acc |↑ | 0.8180|± |0.0122|
| - blimp_causative | 1|none | 0|acc |↑ | 0.4900|± |0.0158|
| - blimp_complex_NP_island | 1|none | 0|acc |↑ | 0.5300|± |0.0158|
| - blimp_coordinate_structure_constraint_complex_left_branch| 1|none | 0|acc |↑ | 0.2990|± |0.0145|
| - blimp_coordinate_structure_constraint_object_extraction | 1|none | 0|acc |↑ | 0.7550|± |0.0136|
| - blimp_determiner_noun_agreement_1 | 1|none | 0|acc |↑ | 0.7910|± |0.0129|
| - blimp_determiner_noun_agreement_2 | 1|none | 0|acc |↑ | 0.8640|± |0.0108|
| - blimp_determiner_noun_agreement_irregular_1 | 1|none | 0|acc |↑ | 0.7020|± |0.0145|
| - blimp_determiner_noun_agreement_irregular_2 | 1|none | 0|acc |↑ | 0.8460|± |0.0114|
| - blimp_determiner_noun_agreement_with_adj_2 | 1|none | 0|acc |↑ | 0.7370|± |0.0139|
| - blimp_determiner_noun_agreement_with_adj_irregular_1 | 1|none | 0|acc |↑ | 0.5780|± |0.0156|
| - blimp_determiner_noun_agreement_with_adj_irregular_2 | 1|none | 0|acc |↑ | 0.7300|± |0.0140|
| - blimp_determiner_noun_agreement_with_adjective_1 | 1|none | 0|acc |↑ | 0.7060|± |0.0144|
| - blimp_distractor_agreement_relational_noun | 1|none | 0|acc |↑ | 0.2630|± |0.0139|
| - blimp_distractor_agreement_relative_clause | 1|none | 0|acc |↑ | 0.2060|± |0.0128|
| - blimp_drop_argument | 1|none | 0|acc |↑ | 0.7110|± |0.0143|
| - blimp_ellipsis_n_bar_1 | 1|none | 0|acc |↑ | 0.5800|± |0.0156|
| - blimp_ellipsis_n_bar_2 | 1|none | 0|acc |↑ | 0.7490|± |0.0137|
| - blimp_existential_there_object_raising | 1|none | 0|acc |↑ | 0.7470|± |0.0138|
| - blimp_existential_there_quantifiers_1 | 1|none | 0|acc |↑ | 0.8450|± |0.0115|
| - blimp_existential_there_quantifiers_2 | 1|none | 0|acc |↑ | 0.2720|± |0.0141|
| - blimp_existential_there_subject_raising | 1|none | 0|acc |↑ | 0.6560|± |0.0150|
| - blimp_expletive_it_object_raising | 1|none | 0|acc |↑ | 0.6820|± |0.0147|
| - blimp_inchoative | 1|none | 0|acc |↑ | 0.4210|± |0.0156|
| - blimp_intransitive | 1|none | 0|acc |↑ | 0.5750|± |0.0156|
| - blimp_irregular_past_participle_adjectives | 1|none | 0|acc |↑ | 0.9240|± |0.0084|
| - blimp_irregular_past_participle_verbs | 1|none | 0|acc |↑ | 0.6800|± |0.0148|
| - blimp_irregular_plural_subject_verb_agreement_1 | 1|none | 0|acc |↑ | 0.7100|± |0.0144|
| - blimp_irregular_plural_subject_verb_agreement_2 | 1|none | 0|acc |↑ | 0.8520|± |0.0112|
| - blimp_left_branch_island_echo_question | 1|none | 0|acc |↑ | 0.8390|± |0.0116|
| - blimp_left_branch_island_simple_question | 1|none | 0|acc |↑ | 0.3810|± |0.0154|
| - blimp_matrix_question_npi_licensor_present | 1|none | 0|acc |↑ | 0.0060|± |0.0024|
| - blimp_npi_present_1 | 1|none | 0|acc |↑ | 0.5420|± |0.0158|
| - blimp_npi_present_2 | 1|none | 0|acc |↑ | 0.5250|± |0.0158|
| - blimp_only_npi_licensor_present | 1|none | 0|acc |↑ | 0.3710|± |0.0153|
| - blimp_only_npi_scope | 1|none | 0|acc |↑ | 0.4090|± |0.0156|
| - blimp_passive_1 | 1|none | 0|acc |↑ | 0.7980|± |0.0127|
| - blimp_passive_2 | 1|none | 0|acc |↑ | 0.7770|± |0.0132|
| - blimp_principle_A_c_command | 1|none | 0|acc |↑ | 0.6410|± |0.0152|
| - blimp_principle_A_case_1 | 1|none | 0|acc |↑ | 1.0000|± | 0|
| - blimp_principle_A_case_2 | 1|none | 0|acc |↑ | 0.7200|± |0.0142|
| - blimp_principle_A_domain_1 | 1|none | 0|acc |↑ | 0.7350|± |0.0140|
| - blimp_principle_A_domain_2 | 1|none | 0|acc |↑ | 0.6190|± |0.0154|
| - blimp_principle_A_domain_3 | 1|none | 0|acc |↑ | 0.5460|± |0.0158|
| - blimp_principle_A_reconstruction | 1|none | 0|acc |↑ | 0.4780|± |0.0158|
| - blimp_regular_plural_subject_verb_agreement_1 | 1|none | 0|acc |↑ | 0.7920|± |0.0128|
| - blimp_regular_plural_subject_verb_agreement_2 | 1|none | 0|acc |↑ | 0.7970|± |0.0127|
| - blimp_sentential_negation_npi_licensor_present | 1|none | 0|acc |↑ | 1.0000|± | 0|
| - blimp_sentential_negation_npi_scope | 1|none | 0|acc |↑ | 0.6700|± |0.0149|
| - blimp_sentential_subject_island | 1|none | 0|acc |↑ | 0.4350|± |0.0157|
| - blimp_superlative_quantifiers_1 | 1|none | 0|acc |↑ | 0.9270|± |0.0082|
| - blimp_superlative_quantifiers_2 | 1|none | 0|acc |↑ | 0.5460|± |0.0158|
| - blimp_tough_vs_raising_1 | 1|none | 0|acc |↑ | 0.4410|± |0.0157|
| - blimp_tough_vs_raising_2 | 1|none | 0|acc |↑ | 0.6850|± |0.0147|
| - blimp_transitive | 1|none | 0|acc |↑ | 0.7490|± |0.0137|
| - blimp_wh_island | 1|none | 0|acc |↑ | 0.4360|± |0.0157|
| - blimp_wh_questions_object_gap | 1|none | 0|acc |↑ | 0.5880|± |0.0156|
| - blimp_wh_questions_subject_gap | 1|none | 0|acc |↑ | 0.8800|± |0.0103|
| - blimp_wh_questions_subject_gap_long_distance | 1|none | 0|acc |↑ | 0.9460|± |0.0072|
| - blimp_wh_vs_that_no_gap | 1|none | 0|acc |↑ | 0.9810|± |0.0043|
| - blimp_wh_vs_that_no_gap_long_distance | 1|none | 0|acc |↑ | 0.9880|± |0.0034|
| - blimp_wh_vs_that_with_gap | 1|none | 0|acc |↑ | 0.1180|± |0.0102|
| - blimp_wh_vs_that_with_gap_long_distance | 1|none | 0|acc |↑ | 0.0340|± |0.0057|
|wikitext | 2|none | 0|bits_per_byte |↓ | 1.4123|± | N/A|
| | |none | 0|byte_perplexity|↓ | 2.6617|± | N/A|
| | |none | 0|word_perplexity|↓ |187.7215|± | N/A|
|Groups|Version|Filter|n-shot|Metric| |Value | |Stderr|
|------|------:|------|------|------|---|-----:|---|-----:|
|blimp | 2|none | |acc |↑ |0.6349|± |0.0016| |