Instructions to use normalcomputing/extended-mind-mpt-7b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use normalcomputing/extended-mind-mpt-7b-chat with Transformers:

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

pipe = pipeline("text-generation", model="normalcomputing/extended-mind-mpt-7b-chat", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("normalcomputing/extended-mind-mpt-7b-chat", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use normalcomputing/extended-mind-mpt-7b-chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "normalcomputing/extended-mind-mpt-7b-chat"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "normalcomputing/extended-mind-mpt-7b-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/normalcomputing/extended-mind-mpt-7b-chat

SGLang

How to use normalcomputing/extended-mind-mpt-7b-chat 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 "normalcomputing/extended-mind-mpt-7b-chat" \
    --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": "normalcomputing/extended-mind-mpt-7b-chat",
		"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 "normalcomputing/extended-mind-mpt-7b-chat" \
        --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": "normalcomputing/extended-mind-mpt-7b-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use normalcomputing/extended-mind-mpt-7b-chat with Docker Model Runner:
```
docker model run hf.co/normalcomputing/extended-mind-mpt-7b-chat
```

phoebeklett commited on May 28, 2024

Commit

2e17c96

verified ·

1 Parent(s): 2bd703d

Update config.json

Browse files

Files changed (1) hide show

config.json +6 -6

config.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
-  "_name_or_path": "mosaicml/mpt-7b-chat",
   "architectures": [
-    "ExtendedMPTForCausalLM"
   ],
   "attn_config": {
     "alibi": true,
@@ -21,8 +21,8 @@
     "use_active_externalism": true
   },
   "auto_map": {
-    "AutoConfig": "configuration.ExtendedMPTConfig",
-    "AutoModelForCausalLM": "modeling_mpt.ExtendedMPTForCausalLM"
   },
   "d_model": 4096,
   "emb_pdrop": 0,
@@ -52,7 +52,7 @@
   "resid_pdrop": 0,
   "tokenizer_name": "sam-mosaic/gpt-neox-20b-chatml",
   "torch_dtype": "float32",
-  "transformers_version": "4.33.3",
   "use_active_externalism_by_layer": [
     true,
     true,
@@ -87,7 +87,7 @@
     true,
     true
   ],
-  "use_cache": false,
   "verbose": 0,
   "vocab_size": 50432
 }

 {
+  "_name_or_path": "normalcomputing/extended-mind-mpt-7b-chat",
   "architectures": [
+    "ExtendedMptForCausalLM"
   ],
   "attn_config": {
     "alibi": true,
     "use_active_externalism": true
   },
   "auto_map": {
+    "AutoConfig": "configuration.ExtendedMptConfig",
+    "AutoModelForCausalLM": "modeling.ExtendedMptForCausalLM"
   },
   "d_model": 4096,
   "emb_pdrop": 0,
   "resid_pdrop": 0,
   "tokenizer_name": "sam-mosaic/gpt-neox-20b-chatml",
   "torch_dtype": "float32",
+  "transformers_version": "4.33.0",
   "use_active_externalism_by_layer": [
     true,
     true,
     true,
     true
   ],
+  "use_cache": true,
   "verbose": 0,
   "vocab_size": 50432
 }