Text Generation
Transformers
Safetensors
Russian
llama
russian
causal-lm
instruction-tuning
sft
tiny
text-generation-inference
Instructions to use MetaCore-LLM/MetaCore-1-Test-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MetaCore-LLM/MetaCore-1-Test-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MetaCore-LLM/MetaCore-1-Test-Instruct")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MetaCore-LLM/MetaCore-1-Test-Instruct") model = AutoModelForCausalLM.from_pretrained("MetaCore-LLM/MetaCore-1-Test-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use MetaCore-LLM/MetaCore-1-Test-Instruct with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MetaCore-LLM/MetaCore-1-Test-Instruct" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MetaCore-LLM/MetaCore-1-Test-Instruct", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MetaCore-LLM/MetaCore-1-Test-Instruct
- SGLang
How to use MetaCore-LLM/MetaCore-1-Test-Instruct 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 "MetaCore-LLM/MetaCore-1-Test-Instruct" \ --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": "MetaCore-LLM/MetaCore-1-Test-Instruct", "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 "MetaCore-LLM/MetaCore-1-Test-Instruct" \ --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": "MetaCore-LLM/MetaCore-1-Test-Instruct", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MetaCore-LLM/MetaCore-1-Test-Instruct with Docker Model Runner:
docker model run hf.co/MetaCore-LLM/MetaCore-1-Test-Instruct
Загрузка SFT модели
Browse files- checkpoint-392/config.json +32 -0
- checkpoint-392/generation_config.json +7 -0
- checkpoint-392/model.safetensors +3 -0
- checkpoint-392/optimizer.pt +3 -0
- checkpoint-392/rng_state_0.pth +3 -0
- checkpoint-392/rng_state_1.pth +3 -0
- checkpoint-392/scaler.pt +3 -0
- checkpoint-392/scheduler.pt +3 -0
- checkpoint-392/tokenizer.json +0 -0
- checkpoint-392/tokenizer_config.json +14 -0
- checkpoint-392/trainer_state.json +167 -0
- checkpoint-392/training_args.bin +3 -0
- config.json +32 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- training_args.bin +3 -0
checkpoint-392/config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"dtype": "float32",
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"eos_token_id": null,
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"head_dim": 32,
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"hidden_act": "silu",
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"hidden_size": 128,
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"initializer_range": 0.02,
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"intermediate_size": 384,
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"max_position_embeddings": 256,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 4,
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"num_hidden_layers": 4,
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"num_key_value_heads": 4,
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"pad_token_id": null,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 10000,
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"rope_type": "default"
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0",
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"use_cache": false,
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"vocab_size": 119547
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}
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checkpoint-392/generation_config.json
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{
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"_from_model_config": true,
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"output_attentions": false,
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"output_hidden_states": false,
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"transformers_version": "5.0.0",
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"use_cache": true
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}
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checkpoint-392/model.safetensors
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checkpoint-392/optimizer.pt
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checkpoint-392/rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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checkpoint-392/rng_state_1.pth
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version https://git-lfs.github.com/spec/v1
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size 14917
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checkpoint-392/scaler.pt
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version https://git-lfs.github.com/spec/v1
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size 1383
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checkpoint-392/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1465
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checkpoint-392/tokenizer.json
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checkpoint-392/tokenizer_config.json
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{
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"backend": "tokenizers",
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"is_local": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "[UNK]"
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checkpoint-392/trainer_state.json
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checkpoint-392/training_args.bin
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generation_config.json
ADDED
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model.safetensors
ADDED
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tokenizer.json
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tokenizer_config.json
ADDED
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training_args.bin
ADDED
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