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

Libraries
PEFT
How to use bimabk/environment_test_affine with PEFT:
```
Base model is not found.
```

How to use bimabk/environment_test_affine with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bimabk/environment_test_affine")
model = AutoModelForCausalLM.from_pretrained("bimabk/environment_test_affine", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use bimabk/environment_test_affine with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/bimabk/environment_test_affine

SGLang

How to use bimabk/environment_test_affine 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 "bimabk/environment_test_affine" \
    --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": "bimabk/environment_test_affine",
		"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 "bimabk/environment_test_affine" \
        --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": "bimabk/environment_test_affine",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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

bimabk commited on Feb 9

Commit

aab54a2

verified ·

1 Parent(s): 85f5c77

Upload task output 1

Browse files

Files changed (2) hide show

config.json +16 -8
model.safetensors +2 -2

config.json CHANGED Viewed

@@ -7,9 +7,9 @@
   "dtype": "bfloat16",
   "eos_token_id": 151645,
   "hidden_act": "silu",
-  "hidden_size": 3584,
   "initializer_range": 0.02,
-  "intermediate_size": 18944,
   "layer_types": [
     "full_attention",
     "full_attention",
@@ -38,14 +38,22 @@
     "full_attention",
     "full_attention",
     "full_attention",
     "full_attention"
   ],
   "max_position_embeddings": 32768,
-  "max_window_layers": 28,
   "model_type": "qwen2",
-  "num_attention_heads": 28,
-  "num_hidden_layers": 28,
-  "num_key_value_heads": 4,
   "pad_token_id": null,
   "rms_norm_eps": 1e-06,
   "rope_parameters": {
@@ -53,9 +61,9 @@
     "rope_type": "default"
   },
   "sliding_window": null,
-  "tie_word_embeddings": false,
   "transformers_version": "5.1.0",
   "use_cache": true,
   "use_sliding_window": false,
-  "vocab_size": 152064
 }

   "dtype": "bfloat16",
   "eos_token_id": 151645,
   "hidden_act": "silu",
+  "hidden_size": 2048,
   "initializer_range": 0.02,
+  "intermediate_size": 11008,
   "layer_types": [
     "full_attention",
     "full_attention",
     "full_attention",
     "full_attention",
     "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
     "full_attention"
   ],
   "max_position_embeddings": 32768,
+  "max_window_layers": 70,
   "model_type": "qwen2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 2,
   "pad_token_id": null,
   "rms_norm_eps": 1e-06,
   "rope_parameters": {
     "rope_type": "default"
   },
   "sliding_window": null,
+  "tie_word_embeddings": true,
   "transformers_version": "5.1.0",
   "use_cache": true,
   "use_sliding_window": false,
+  "vocab_size": 151936
 }

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fee0d50775040f129a551e8e9c09a70ece739a010984e80f39f01f75f8d92bf8
-size 15231272152

 version https://git-lfs.github.com/spec/v1
+oid sha256:84a818b6851ccc1ef74d75dd1041a284ff97e169342cff118f06248349f68f61
+size 6171927112