Text Generation
Transformers
Safetensors
English
testgeniy
causal-lm
reasoning
mathematics
logic
long-context
4k-context
small-language-model
Instructions to use Asilarkness/testgeniy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Asilarkness/testgeniy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Asilarkness/testgeniy")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Asilarkness/testgeniy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Asilarkness/testgeniy with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Asilarkness/testgeniy" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Asilarkness/testgeniy", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Asilarkness/testgeniy
- SGLang
How to use Asilarkness/testgeniy 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 "Asilarkness/testgeniy" \ --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": "Asilarkness/testgeniy", "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 "Asilarkness/testgeniy" \ --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": "Asilarkness/testgeniy", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Asilarkness/testgeniy with Docker Model Runner:
docker model run hf.co/Asilarkness/testgeniy
pretrain update=10000 loss=3.3017
Browse files- README.md +9 -0
- config.json +56 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +21 -0
README.md
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---
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license: other
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library_name: pytorch
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---
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# TestGeniy 500M
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1280d / 24L / GQA 10:2
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3 local + 1 full NoPE, SwiGLU, QK-norm, tied emb, digit tokens.
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config.json
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{
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"architectures": [
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"TestGeniyForCausalLM"
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],
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"model_type": "testgeniy",
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"torch_dtype": "bfloat16",
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"vocab_size": 49216,
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"hidden_size": 1280,
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"intermediate_size": 3584,
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"num_hidden_layers": 24,
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"num_attention_heads": 10,
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"num_key_value_heads": 2,
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"head_dim": 128,
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"max_position_embeddings": 2048,
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"rope_theta": 500000.0,
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"local_block_size": 1024,
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"tie_word_embeddings": true,
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"layer_types": [
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"block_local",
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"block_local",
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"block_local",
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"full",
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"block_local",
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"block_local",
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"block_local",
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"full",
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"block_local",
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"block_local",
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"block_local",
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"full",
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"block_local",
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"block_local",
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"block_local",
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"full",
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"block_local",
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"block_local",
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"block_local",
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"full",
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"block_local",
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"block_local",
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"block_local",
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"full"
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],
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"digit_tokens": [
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"<d0>",
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"<d1>",
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"<d2>",
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"<d3>",
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"<d4>",
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"<d5>",
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"<d6>",
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"<d7>",
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"<d8>",
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"<d9>"
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]
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:93086b7e0bd33b4861e41ecab2494f4986365d49e3fb8f699f324e782fcc5e11
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size 1101624424
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": "<|begin|>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|doc|>",
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"<|system|>",
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"<|user|>",
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"<|assistant|>"
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],
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"is_local": true,
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"local_files_only": false,
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"model_max_length": 1000000000000,
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"pad_token": "<|pad|>",
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>",
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"vocab_size": 49152
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}
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