Instructions to use mufeedh28/dictalm2-israeli-law-instruct-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mufeedh28/dictalm2-israeli-law-instruct-merged with Transformers:

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

pipe = pipeline("text-generation", model="mufeedh28/dictalm2-israeli-law-instruct-merged")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("mufeedh28/dictalm2-israeli-law-instruct-merged")
model = AutoModelForCausalLM.from_pretrained("mufeedh28/dictalm2-israeli-law-instruct-merged", 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 mufeedh28/dictalm2-israeli-law-instruct-merged with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mufeedh28/dictalm2-israeli-law-instruct-merged"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mufeedh28/dictalm2-israeli-law-instruct-merged",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/mufeedh28/dictalm2-israeli-law-instruct-merged

SGLang

How to use mufeedh28/dictalm2-israeli-law-instruct-merged 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 "mufeedh28/dictalm2-israeli-law-instruct-merged" \
    --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": "mufeedh28/dictalm2-israeli-law-instruct-merged",
		"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 "mufeedh28/dictalm2-israeli-law-instruct-merged" \
        --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": "mufeedh28/dictalm2-israeli-law-instruct-merged",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use mufeedh28/dictalm2-israeli-law-instruct-merged with Docker Model Runner:
```
docker model run hf.co/mufeedh28/dictalm2-israeli-law-instruct-merged
```

mufeedh28 commited on Mar 11

Commit

34a645d

verified ·

1 Parent(s): 29e5453

(Trained with Unsloth)

Browse files

Files changed (4) hide show

chat_template.jinja +1 -0
config.json +31 -0
tokenizer.json +0 -0
tokenizer_config.json +18 -0

chat_template.jinja ADDED Viewed

	@@ -0,0 +1 @@


1	+ {% for message in messages %}{% if message['role'] == 'user' %}[INST] {{ message['content'] }} [/INST]{% elif message['role'] == 'assistant' %}{{ message['content'] }}{{ eos_token }}{% endif %}{% endfor %}

config.json ADDED Viewed

	@@ -0,0 +1,31 @@

+{
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "document_attention": true,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "pad_token_id": 0,
+    "rms_norm_eps": 1e-05,
+    "rope_parameters": {
+        "rope_theta": 10000.0,
+        "rope_type": "default"
+    },
+    "sliding_window": 4096,
+    "tie_word_embeddings": false,
+    "unsloth_version": "2026.3.4",
+    "use_cache": false,
+    "vocab_size": 33152
+}

tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,18 @@

+{
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "from_slow": true,
+  "is_local": false,
+  "legacy": false,
+  "model_max_length": 32768,
+  "pad_token": "<unk>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false,
+  "chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}[INST] {{ message['content'] }} [/INST]{% elif message['role'] == 'assistant' %}{{ message['content'] }}{{ eos_token }}{% endif %}{% endfor %}"
+}