Instructions to use MediaStreamAI/MOTHER_CORE_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MediaStreamAI/MOTHER_CORE_V2 with Transformers:

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

pipe = pipeline("text-generation", model="MediaStreamAI/MOTHER_CORE_V2", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("MediaStreamAI/MOTHER_CORE_V2", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use MediaStreamAI/MOTHER_CORE_V2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MediaStreamAI/MOTHER_CORE_V2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MediaStreamAI/MOTHER_CORE_V2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/MediaStreamAI/MOTHER_CORE_V2

SGLang

How to use MediaStreamAI/MOTHER_CORE_V2 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 "MediaStreamAI/MOTHER_CORE_V2" \
    --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": "MediaStreamAI/MOTHER_CORE_V2",
		"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 "MediaStreamAI/MOTHER_CORE_V2" \
        --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": "MediaStreamAI/MOTHER_CORE_V2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use MediaStreamAI/MOTHER_CORE_V2 with Docker Model Runner:
```
docker model run hf.co/MediaStreamAI/MOTHER_CORE_V2
```

MediaStreamAI commited on 15 days ago

Commit

34d05fa

verified ·

1 Parent(s): 23f6f9a

chunk 600 W2.8 cutover BASE: config.json

Browse files

Files changed (1) hide show

config.json +23 -18

config.json CHANGED Viewed

@@ -1,26 +1,31 @@
 {
   "architectures": [
-    "MotherCoreModel"
   ],
-  "model_type": "mother_core",
-  "torch_dtype": "bfloat16",
-  "vocab_size": 50258,
   "hidden_size": 3072,
-  "num_hidden_layers": 48,
   "num_attention_heads": 24,
   "num_key_value_heads": 6,
-  "intermediate_size": 12288,
-  "max_position_embeddings": 4096,
-  "rope_theta": 10000.0,
-  "rms_norm_eps": 1e-05,
-  "tie_word_embeddings": true,
-  "use_cache": true,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
   "pad_token_id": 0,
-  "_msai_chunk": 600,
-  "_msai_corpus": "mother_core_w27_base.jsonl",
-  "_msai_weights": "MOTHER CORE BASE \u2014 chunk 600 frozen 2026-05-14",
-  "_msai_eval_score": "49/105 (47%)",
-  "_msai_source_sha256": "0b1ef35ec60af4a7ad0648498de8526cb775a19501dda94dfbda1713e0475b60"
 }

 {
+  "architect": "Christopher Kenna",
   "architectures": [
+    "MotherCoreForCausalLM"
   ],
+  "auto_map": {
+    "AutoConfig": "configuration_mother.MotherConfig",
+    "AutoModelForCausalLM": "modeling_mother.MotherCoreForCausalLM",
+    "AutoTokenizer": "tokenization_mother.MotherCoreTokenizer"
+  },
+  "bos_token_id": 1,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "ff_mult": 4.0,
   "hidden_size": 3072,
+  "max_position_embeddings": 1024,
+  "model_name": "MOTHER CORE",
+  "model_type": "mother_core",
+  "model_version": "v11",
   "num_attention_heads": 24,
+  "num_hidden_layers": 28,
   "num_key_value_heads": 6,
+  "organisation": "MediaStream AI Limited",
   "pad_token_id": 0,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sovereign_nation": "United Kingdom",
+  "tie_word_embeddings": false,
+  "transformers_version": "5.3.0",
+  "vocab_size": 50258
 }