Text Generation
Transformers
Safetensors
lora
aya
tiny-aya
multilingual
code
legesher
tiny-aya-expedition
language-decoded
unsloth
arxiv:2603.11510
arxiv:2211.15533
arxiv:2510.09591
arxiv:1809.05053
arxiv:2308.16884
arxiv:2106.06937
arxiv:2210.03057
Instructions to use legesher/language-decoded-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use legesher/language-decoded-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="legesher/language-decoded-lora")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("legesher/language-decoded-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use legesher/language-decoded-lora with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "legesher/language-decoded-lora" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "legesher/language-decoded-lora", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/legesher/language-decoded-lora
- SGLang
How to use legesher/language-decoded-lora 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 "legesher/language-decoded-lora" \ --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": "legesher/language-decoded-lora", "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 "legesher/language-decoded-lora" \ --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": "legesher/language-decoded-lora", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Unsloth Desktop
- Docker Model Runner
How to use legesher/language-decoded-lora with Docker Model Runner:
docker model run hf.co/legesher/language-decoded-lora
condition-2-ur-20k-seed123
#22
by rafaym - opened
tiny-aya-base/condition-2-ur-20k-seed123/adapter_config.json
ADDED
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{
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| 2 |
+
"alora_invocation_tokens": null,
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| 3 |
+
"alpha_pattern": {},
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| 4 |
+
"arrow_config": null,
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| 5 |
+
"auto_mapping": {
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| 6 |
+
"base_model_class": "Cohere2ForCausalLM",
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| 7 |
+
"parent_library": "unsloth_compiled_module_cohere2",
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| 8 |
+
"unsloth_fixed": true
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| 9 |
+
},
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| 10 |
+
"base_model_name_or_path": "CohereLabs/tiny-aya-base",
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| 11 |
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"bias": "none",
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| 12 |
+
"corda_config": null,
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| 13 |
+
"ensure_weight_tying": false,
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| 14 |
+
"eva_config": null,
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| 15 |
+
"exclude_modules": null,
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| 16 |
+
"fan_in_fan_out": false,
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| 17 |
+
"inference_mode": true,
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| 18 |
+
"init_lora_weights": true,
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| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
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| 21 |
+
"layers_to_transform": null,
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| 22 |
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"loftq_config": {},
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| 23 |
+
"lora_alpha": 32,
|
| 24 |
+
"lora_bias": false,
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| 25 |
+
"lora_dropout": 0.0,
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| 26 |
+
"lora_ga_config": null,
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| 27 |
+
"megatron_config": null,
|
| 28 |
+
"megatron_core": "megatron.core",
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| 29 |
+
"modules_to_save": null,
|
| 30 |
+
"monteclora_config": null,
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| 31 |
+
"peft_type": "LORA",
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| 32 |
+
"peft_version": "0.20.0",
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| 33 |
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"qalora_group_size": 16,
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| 34 |
+
"r": 16,
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| 35 |
+
"rank_pattern": {},
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| 36 |
+
"revision": null,
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| 37 |
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"target_modules": [
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| 38 |
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"gate_proj",
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| 39 |
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"down_proj",
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| 40 |
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"v_proj",
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| 41 |
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"up_proj",
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| 42 |
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"o_proj",
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| 43 |
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"q_proj",
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| 44 |
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"k_proj"
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| 45 |
+
],
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| 46 |
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"target_parameters": null,
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| 47 |
+
"task_type": "CAUSAL_LM",
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| 48 |
+
"trainable_token_indices": null,
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| 49 |
+
"use_bdlora": null,
|
| 50 |
+
"use_dora": false,
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| 51 |
+
"use_qalora": false,
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| 52 |
+
"use_rslora": false,
|
| 53 |
+
"velora_config": null
|
| 54 |
+
}
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tiny-aya-base/condition-2-ur-20k-seed123/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2021700a6d49256b05c0e9d60432cb1e394a2fa50ed267277b4eba89fd55d830
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| 3 |
+
size 120981200
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tiny-aya-base/condition-2-ur-20k-seed123/training_metrics.json
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@@ -0,0 +1,809 @@
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