Instructions to use KoboldAI/fairseq-dense-13B-Nerys with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use KoboldAI/fairseq-dense-13B-Nerys with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="KoboldAI/fairseq-dense-13B-Nerys")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("KoboldAI/fairseq-dense-13B-Nerys")
model = AutoModelForCausalLM.from_pretrained("KoboldAI/fairseq-dense-13B-Nerys", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use KoboldAI/fairseq-dense-13B-Nerys with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KoboldAI/fairseq-dense-13B-Nerys"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KoboldAI/fairseq-dense-13B-Nerys",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/KoboldAI/fairseq-dense-13B-Nerys

SGLang

How to use KoboldAI/fairseq-dense-13B-Nerys 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 "KoboldAI/fairseq-dense-13B-Nerys" \
    --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": "KoboldAI/fairseq-dense-13B-Nerys",
		"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 "KoboldAI/fairseq-dense-13B-Nerys" \
        --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": "KoboldAI/fairseq-dense-13B-Nerys",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use KoboldAI/fairseq-dense-13B-Nerys with Docker Model Runner:
```
docker model run hf.co/KoboldAI/fairseq-dense-13B-Nerys
```

Julius ter Pelkwijk commited on May 14, 2022

Commit

dfc3204

1 Parent(s): 07804a9

Adding model

Browse files

Files changed (6) hide show

config.json +29 -0
merges.txt +0 -0
pytorch_model.bin +3 -0
special_tokens_map.json +1 -0
tokenizer_config.json +1 -0
vocab.json +0 -0

config.json ADDED Viewed

	@@ -0,0 +1,29 @@

+{
+  "_name_or_path": "KoboldAI/fairseq-dense-13B",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "XGLMForCausalLM"
+  ],
+  "attention_dropout": 0.1,
+  "attention_heads": 40,
+  "bos_token_id": 50257,
+  "d_model": 5120,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "eos_token_id": 50259,
+  "ffn_dim": 20480,
+  "init_std": 0.02,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 2048,
+  "model_type": "xglm",
+  "newlinemode": "s",
+  "num_layers": 40,
+  "pad_token_id": 1,
+  "scale_embedding": true,
+  "tokenizer_class": "GPT2Tokenizer",
+  "torch_dtype": "float16",
+  "transformers_version": "4.18.0",
+  "use_cache": false,
+  "vocab_size": 50261
+}

merges.txt ADDED Viewed

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pytorch_model.bin ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cf2c054115933e90334ecabf9f805a8f7cc99583becc10b8e6d2c3740c147a13
+size 25707041085

special_tokens_map.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "<\|endoftext\|>", "pad_token": "<pad>"}

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1 @@

+ {"errors": "replace", "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "special_tokens_map_file": "/root/.cache/huggingface/transformers/d62d75cc3a7250ada25f0a99e2741555d3712693661d5eef48b3fcbdd151d255.f4b0476f9d35aab16d5dd877dd9e5d547702eff96a3d808497c0d3fc36a32c99", "name_or_path": "KoboldAI/fairseq-dense-13B", "tokenizer_class": "GPT2Tokenizer"}

vocab.json ADDED Viewed

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