Text Generation
Transformers
Safetensors
English
gpt2
causal-lm
from-scratch
fineweb
undertrained
text-generation-inference
Instructions to use helloadhavan/llara1.1-100M-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helloadhavan/llara1.1-100M-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="helloadhavan/llara1.1-100M-base")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("helloadhavan/llara1.1-100M-base") model = AutoModelForCausalLM.from_pretrained("helloadhavan/llara1.1-100M-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use helloadhavan/llara1.1-100M-base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "helloadhavan/llara1.1-100M-base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "helloadhavan/llara1.1-100M-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/helloadhavan/llara1.1-100M-base
- SGLang
How to use helloadhavan/llara1.1-100M-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 "helloadhavan/llara1.1-100M-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": "helloadhavan/llara1.1-100M-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 "helloadhavan/llara1.1-100M-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": "helloadhavan/llara1.1-100M-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use helloadhavan/llara1.1-100M-base with Docker Model Runner:
docker model run hf.co/helloadhavan/llara1.1-100M-base
Upload folder using huggingface_hub
Browse files- checkpoint-19303/config.json +35 -0
- checkpoint-19303/generation_config.json +9 -0
- checkpoint-19303/model.safetensors +3 -0
- checkpoint-19303/optimizer.pt +3 -0
- checkpoint-19303/rng_state.pth +3 -0
- checkpoint-19303/scaler.pt +3 -0
- checkpoint-19303/scheduler.pt +3 -0
- checkpoint-19303/trainer_state.json +2736 -0
- checkpoint-19303/training_args.bin +3 -0
- checkpoint-41387/config.json +35 -0
- checkpoint-41387/generation_config.json +9 -0
- checkpoint-41387/model.safetensors +3 -0
- checkpoint-41387/optimizer.pt +3 -0
- checkpoint-41387/rng_state.pth +3 -0
- checkpoint-41387/scaler.pt +3 -0
- checkpoint-41387/scheduler.pt +3 -0
- checkpoint-41387/trainer_state.json +0 -0
- checkpoint-41387/training_args.bin +3 -0
- config.json +35 -0
- generation_config.json +9 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +13 -0
- training_args.bin +3 -0
checkpoint-19303/config.json
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{
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"activation_function": "gelu_new",
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"add_cross_attention": false,
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"dtype": "float32",
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 256,
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"n_embd": 640,
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"n_head": 10,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 256,
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"pad_token_id": 50256,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"tie_word_embeddings": true,
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"transformers_version": "5.12.1",
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"use_cache": false,
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"vocab_size": 50257
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}
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checkpoint-19303/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"output_attentions": false,
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"output_hidden_states": false,
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"transformers_version": "5.12.1",
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"use_cache": true
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}
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checkpoint-19303/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3aeb0ecaafe08533200daff41b55fbff8818bb06cb215712d61388d1c59dee9
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size 365662304
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checkpoint-19303/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff8986558d53ea2107a5881f18093414071be8a94e1f3652faa78ac592b71a79
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size 731421067
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checkpoint-19303/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9c37710e18dea87cb9e9715d01568fd86fd880df772ae5090b293b3b1d575ff
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size 14645
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checkpoint-19303/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-19303/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:bced912761116e5ca48d074542e3dd2beca50deb5fe07376c4b361b34c8622f2
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size 1465
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checkpoint-19303/trainer_state.json
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tokenizer_config.json
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