Instructions to use codegood/Unsloth_Mistral_YU_4bit_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use codegood/Unsloth_Mistral_YU_4bit_new with Transformers:

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

pipe = pipeline("text-generation", model="codegood/Unsloth_Mistral_YU_4bit_new")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("codegood/Unsloth_Mistral_YU_4bit_new")
model = AutoModelForCausalLM.from_pretrained("codegood/Unsloth_Mistral_YU_4bit_new")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use codegood/Unsloth_Mistral_YU_4bit_new with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "codegood/Unsloth_Mistral_YU_4bit_new"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "codegood/Unsloth_Mistral_YU_4bit_new",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/codegood/Unsloth_Mistral_YU_4bit_new

SGLang

How to use codegood/Unsloth_Mistral_YU_4bit_new 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 "codegood/Unsloth_Mistral_YU_4bit_new" \
    --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": "codegood/Unsloth_Mistral_YU_4bit_new",
		"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 "codegood/Unsloth_Mistral_YU_4bit_new" \
        --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": "codegood/Unsloth_Mistral_YU_4bit_new",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio

How to use codegood/Unsloth_Mistral_YU_4bit_new with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for codegood/Unsloth_Mistral_YU_4bit_new to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for codegood/Unsloth_Mistral_YU_4bit_new to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for codegood/Unsloth_Mistral_YU_4bit_new to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="codegood/Unsloth_Mistral_YU_4bit_new",
    max_seq_length=2048,
)

Docker Model Runner
How to use codegood/Unsloth_Mistral_YU_4bit_new with Docker Model Runner:
```
docker model run hf.co/codegood/Unsloth_Mistral_YU_4bit_new
```

codegood commited on Mar 24, 2024

Commit

4c0bea8

verified ·

1 Parent(s): bc31f63

Trained with Unsloth

Browse files

Upload model trained with Unsloth 2x faster

Files changed (3) hide show

special_tokens_map.json +7 -1
tokenizer.json +0 -27
tokenizer_config.json +2 -2

special_tokens_map.json CHANGED Viewed

@@ -13,7 +13,13 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": "</s>",
   "unk_token": {
     "content": "<unk>",
     "lstrip": false,

     "rstrip": false,
     "single_word": false
   },
+  "pad_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
   "unk_token": {
     "content": "<unk>",
     "lstrip": false,

tokenizer.json CHANGED Viewed

@@ -62,12 +62,6 @@
           "id": "A",
           "type_id": 0
         }
-      },
-      {
-        "SpecialToken": {
-          "id": "</s>",
-          "type_id": 0
-        }
       }
     ],
     "pair": [
@@ -83,12 +77,6 @@
           "type_id": 0
         }
       },
-      {
-        "SpecialToken": {
-          "id": "</s>",
-          "type_id": 0
-        }
-      },
       {
         "SpecialToken": {
           "id": "<s>",
@@ -100,24 +88,9 @@
           "id": "B",
           "type_id": 1
         }
-      },
-      {
-        "SpecialToken": {
-          "id": "</s>",
-          "type_id": 1
-        }
       }
     ],
     "special_tokens": {
-      "</s>": {
-        "id": "</s>",
-        "ids": [
-          2
-        ],
-        "tokens": [
-          "</s>"
-        ]
-      },
       "<s>": {
         "id": "<s>",
         "ids": [

           "id": "A",
           "type_id": 0
         }
       }
     ],
     "pair": [
           "type_id": 0
         }
       },
       {
         "SpecialToken": {
           "id": "<s>",
           "id": "B",
           "type_id": 1
         }
       }
     ],
     "special_tokens": {
       "<s>": {
         "id": "<s>",
         "ids": [

tokenizer_config.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "add_bos_token": true,
-  "add_eos_token": true,
   "added_tokens_decoder": {
     "0": {
       "content": "<unk>",
@@ -34,7 +34,7 @@
   "eos_token": "</s>",
   "legacy": true,
   "model_max_length": 32768,
-  "pad_token": "</s>",
   "padding_side": "right",
   "sp_model_kwargs": {},
   "spaces_between_special_tokens": false,

 {
   "add_bos_token": true,
+  "add_eos_token": false,
   "added_tokens_decoder": {
     "0": {
       "content": "<unk>",
   "eos_token": "</s>",
   "legacy": true,
   "model_max_length": 32768,
+  "pad_token": "<unk>",
   "padding_side": "right",
   "sp_model_kwargs": {},
   "spaces_between_special_tokens": false,