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

Libraries

How to use KitsuVp/NeoLLM with Transformers:

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

pipe = pipeline("text-generation", model="KitsuVp/NeoLLM", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("KitsuVp/NeoLLM", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use KitsuVp/NeoLLM with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KitsuVp/NeoLLM"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KitsuVp/NeoLLM",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/KitsuVp/NeoLLM

SGLang

How to use KitsuVp/NeoLLM 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 "KitsuVp/NeoLLM" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KitsuVp/NeoLLM",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "KitsuVp/NeoLLM" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KitsuVp/NeoLLM",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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

KitsuVp commited on Mar 18

Commit

8059a12

verified ·

1 Parent(s): f82204d

Model save

Browse files

Files changed (4) hide show

README.md +4 -4
config.json +1 -1
model.safetensors +2 -2
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.9227
 ## Model description
@@ -46,9 +46,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 3.7355        | 0.32  | 5000  | 3.6867          |
-| 3.2793        | 0.64  | 10000 | 3.2132          |
-| 3.0157        | 0.96  | 15000 | 2.9227          |
 ### Framework versions

 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.8816
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
+| 3.7354        | 0.32  | 5000  | 3.6870          |
+| 3.2505        | 0.64  | 10000 | 3.1865          |
+| 2.9770        | 0.96  | 15000 | 2.8816          |
 ### Framework versions

config.json CHANGED Viewed

@@ -55,7 +55,7 @@
   "tie_word_embeddings": true,
   "transformers_version": "5.3.0",
   "use_affine_scaled_attention": true,
-  "use_attn_res": true,
   "use_cache": false,
   "use_directional_routing": true,
   "use_jtokm": false,

   "tie_word_embeddings": true,
   "transformers_version": "5.3.0",
   "use_affine_scaled_attention": true,
+  "use_attn_res": false,
   "use_cache": false,
   "use_directional_routing": true,
   "use_jtokm": false,

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fbf1e058bbc5382aee6ea8d911ef8feda92bec95359b39edafe711b225fbaf47
-size 270562344

 version https://git-lfs.github.com/spec/v1
+oid sha256:277b456174fb456af8cbcae081b36f9269b05ee9621caa958ef3cf5021f25a2a
+size 270521696

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:44c8cf837bfc91e52399e6833deb3364d7dcc6086f3a479e07fa02da20ed5fe2
 size 5329

 version https://git-lfs.github.com/spec/v1
+oid sha256:d79f776501e85f606cb2030a94c0b8398f4d0590dbb251d0ce91ca570565cc09
 size 5329