Instructions to use llmware/dragon-yi-1.5v-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use llmware/dragon-yi-1.5v-9b with Transformers:

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

pipe = pipeline("text-generation", model="llmware/dragon-yi-1.5v-9b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("llmware/dragon-yi-1.5v-9b")
model = AutoModelForCausalLM.from_pretrained("llmware/dragon-yi-1.5v-9b", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use llmware/dragon-yi-1.5v-9b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "llmware/dragon-yi-1.5v-9b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "llmware/dragon-yi-1.5v-9b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/llmware/dragon-yi-1.5v-9b

SGLang

How to use llmware/dragon-yi-1.5v-9b 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 "llmware/dragon-yi-1.5v-9b" \
    --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": "llmware/dragon-yi-1.5v-9b",
		"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 "llmware/dragon-yi-1.5v-9b" \
        --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": "llmware/dragon-yi-1.5v-9b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use llmware/dragon-yi-1.5v-9b with Docker Model Runner:
```
docker model run hf.co/llmware/dragon-yi-1.5v-9b
```

doberst commited on Jul 24, 2024

Commit

2260c93

verified ·

1 Parent(s): cf14719

Upload 5 files

Browse files

Files changed (5) hide show

config.json +89 -0
generation_config.json +7 -0
tokenizer.json +0 -0
tokenizer.model +3 -0
tokenizer_config.json +13 -0

config.json ADDED Viewed

	@@ -0,0 +1,89 @@

+{
+  "aib_version": "model_archive_072424_yi1-5_9_readgpt_eot_8",
+  "training_dataset": [
+    "aib_label_samples_739.jsonl"
+  ],
+  "training_timestamp": "Wed Jul 24 13:44:37 2024",
+  "training_comments": "yi1-5-9-read-gpt-eot-072424-8",
+  "vocab_size": 64000,
+  "max_position_embeddings": 4096,
+  "hidden_size": 4096,
+  "intermediate_size": 11008,
+  "num_hidden_layers": 48,
+  "num_attention_heads": 32,
+  "num_key_value_heads": 4,
+  "hidden_act": "silu",
+  "initializer_range": 0.02,
+  "rms_norm_eps": 1e-06,
+  "pretraining_tp": 1,
+  "use_cache": true,
+  "rope_theta": 5000000.0,
+  "rope_scaling": null,
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "return_dict": true,
+  "output_hidden_states": false,
+  "output_attentions": false,
+  "torchscript": false,
+  "torch_dtype": "bfloat16",
+  "use_bfloat16": false,
+  "tf_legacy_loss": false,
+  "pruned_heads": {},
+  "tie_word_embeddings": false,
+  "chunk_size_feed_forward": 0,
+  "is_encoder_decoder": false,
+  "is_decoder": false,
+  "cross_attention_hidden_size": null,
+  "add_cross_attention": false,
+  "tie_encoder_decoder": false,
+  "max_length": 20,
+  "min_length": 0,
+  "do_sample": false,
+  "early_stopping": false,
+  "num_beams": 1,
+  "num_beam_groups": 1,
+  "diversity_penalty": 0.0,
+  "temperature": 1.0,
+  "top_k": 50,
+  "top_p": 1.0,
+  "typical_p": 1.0,
+  "repetition_penalty": 1.0,
+  "length_penalty": 1.0,
+  "no_repeat_ngram_size": 0,
+  "encoder_no_repeat_ngram_size": 0,
+  "bad_words_ids": null,
+  "num_return_sequences": 1,
+  "output_scores": false,
+  "return_dict_in_generate": false,
+  "forced_bos_token_id": null,
+  "forced_eos_token_id": null,
+  "remove_invalid_values": false,
+  "exponential_decay_length_penalty": null,
+  "suppress_tokens": null,
+  "begin_suppress_tokens": null,
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "finetuning_task": null,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1"
+  },
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1
+  },
+  "tokenizer_class": null,
+  "prefix": null,
+  "bos_token_id": 1,
+  "pad_token_id": 0,
+  "eos_token_id": 2,
+  "sep_token_id": null,
+  "decoder_start_token_id": null,
+  "task_specific_params": null,
+  "problem_type": null,
+  "_name_or_path": "01-ai/Yi-1.5-9B",
+  "transformers_version": "4.38.1",
+  "model_type": "llama",
+  "trained": "custom training"
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,7 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}

tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

tokenizer.model ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
+size 1033105

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,13 @@

+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "model_max_length": 4096,
+  "unk_token": "<unk>",
+  "bos_token": "<|startoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<unk>",
+  "sp_model_kwargs": {},
+  "clean_up_tokenization_spaces": false,
+  "legacy": true,
+  "tokenizer_class": "LlamaTokenizer"
+}