Instructions to use speechlessai/speechless-coding-7b-16k-tora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use speechlessai/speechless-coding-7b-16k-tora with Transformers:

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

pipe = pipeline("text-generation", model="speechlessai/speechless-coding-7b-16k-tora")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("speechlessai/speechless-coding-7b-16k-tora")
model = AutoModelForCausalLM.from_pretrained("speechlessai/speechless-coding-7b-16k-tora", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use speechlessai/speechless-coding-7b-16k-tora with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "speechlessai/speechless-coding-7b-16k-tora"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "speechlessai/speechless-coding-7b-16k-tora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/speechlessai/speechless-coding-7b-16k-tora

SGLang

How to use speechlessai/speechless-coding-7b-16k-tora 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 "speechlessai/speechless-coding-7b-16k-tora" \
    --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": "speechlessai/speechless-coding-7b-16k-tora",
		"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 "speechlessai/speechless-coding-7b-16k-tora" \
        --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": "speechlessai/speechless-coding-7b-16k-tora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use speechlessai/speechless-coding-7b-16k-tora with Docker Model Runner:
```
docker model run hf.co/speechlessai/speechless-coding-7b-16k-tora
```

uukuguy commited on Nov 27, 2023

Commit

ea325c0

1 Parent(s): 973a01c

Fix README.md

Browse files

Files changed (1) hide show

README.md +16 -16

README.md CHANGED Viewed

@@ -4,28 +4,28 @@ language:
 library_name: transformers
 pipeline_tag: text-generation
 datasets:
-- jondurbin/airoboros-2.2
-- Open-Orca/OpenOrca
-- garage-bAInd/Open-Platypus
-- WizardLM/WizardLM_evol_instruct_V2_196k
-- TokenBender/python_eval_instruct_51k
 tags:
-- llama-2
-- code
 license: llama2
 model-index:
-- name: SpeechlessCoder
 results:
-- task:
-type: text-generation
 dataset:
-type: openai_humaneval
-name: HumanEval
 metrics:
-- name: pass@1
-type: pass@1
-value: 52.439
-verified: false
 ---
 <p><h1> speechless-coding-7b-16k-tora  </h1></p>

 library_name: transformers
 pipeline_tag: text-generation
 datasets:
+  - jondurbin/airoboros-2.2
+  - Open-Orca/OpenOrca
+  - garage-bAInd/Open-Platypus
+  - WizardLM/WizardLM_evol_instruct_V2_196k
+  - TokenBender/python_eval_instruct_51k
 tags:
+  - llama-2
+  - code
 license: llama2
 model-index:
+  - name: SpeechlessCoder
 results:
+  - task:
+    type: text-generation
 dataset:
+  type: openai_humaneval
+  name: HumanEval
 metrics:
+  - name: pass@1
+    type: pass@1
+    value: 52.439
+    verified: false
 ---
 <p><h1> speechless-coding-7b-16k-tora  </h1></p>