Instructions to use Kquant03/Samlagast-7B-laser-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kquant03/Samlagast-7B-laser-bf16 with Transformers:

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

pipe = pipeline("text-generation", model="Kquant03/Samlagast-7B-laser-bf16")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Kquant03/Samlagast-7B-laser-bf16")
model = AutoModelForCausalLM.from_pretrained("Kquant03/Samlagast-7B-laser-bf16")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Kquant03/Samlagast-7B-laser-bf16 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Kquant03/Samlagast-7B-laser-bf16"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Kquant03/Samlagast-7B-laser-bf16",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Kquant03/Samlagast-7B-laser-bf16

SGLang

How to use Kquant03/Samlagast-7B-laser-bf16 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 "Kquant03/Samlagast-7B-laser-bf16" \
    --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": "Kquant03/Samlagast-7B-laser-bf16",
		"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 "Kquant03/Samlagast-7B-laser-bf16" \
        --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": "Kquant03/Samlagast-7B-laser-bf16",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Kquant03/Samlagast-7B-laser-bf16 with Docker Model Runner:
```
docker model run hf.co/Kquant03/Samlagast-7B-laser-bf16
```

Update README.md

by NovoCode - opened Feb 16, 2024

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

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README.md CHANGED Viewed

@@ -1,3 +1,61 @@
 ---
 license: apache-2.0
 ---

 ---
+base_model:
+- flemmingmiguel/MBX-7B-v3
+- paulml/NeuralOmniWestBeaglake-7B
+- FelixChao/Faraday-7B
+- paulml/NeuralOmniBeagleMBX-v3-7B
+tags:
+- mergekit
+- merge
 license: apache-2.0
+language:
+- en
 ---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/eDLmpTkM4vuk8HiQcUzWv.png)
+# To see what will happen.
+[Join our Discord!](https://discord.gg/aEGuFph9)
+[GGUF FILES HERE](https://huggingface.co/Kquant03/Samlagast-7B-GGUF)
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+### Merge Method
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [paulml/NeuralOmniBeagleMBX-v3-7B](https://huggingface.co/paulml/NeuralOmniBeagleMBX-v3-7B) as a base.
+### Models Merged
+The following models were included in the merge:
+* [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3)
+* [paulml/NeuralOmniWestBeaglake-7B](https://huggingface.co/paulml/NeuralOmniWestBeaglake-7B)
+* [FelixChao/Faraday-7B](https://huggingface.co/FelixChao/Faraday-7B)
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+models:
+  - model: paulml/NeuralOmniWestBeaglake-7B
+    parameters:
+      weight: 1
+  - model: FelixChao/Faraday-7B
+    parameters:
+      weight: 1
+  - model: flemmingmiguel/MBX-7B-v3
+    parameters:
+      weight: 1
+  - model: paulml/NeuralOmniBeagleMBX-v3-7B
+    parameters:
+      weight: 1
+merge_method: task_arithmetic
+base_model: paulml/NeuralOmniBeagleMBX-v3-7B
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+```