Text Generation
MLX
Safetensors
English
Korean
Japanese
solar_open2
solar
solar-open2
Mixture of Experts
quantized
4bit
conversational
4-bit precision
Instructions to use TensorFold/Solar-Open2-250B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TensorFold/Solar-Open2-250B-MLX-4bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("TensorFold/Solar-Open2-250B-MLX-4bit") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use TensorFold/Solar-Open2-250B-MLX-4bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "TensorFold/Solar-Open2-250B-MLX-4bit"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "TensorFold/Solar-Open2-250B-MLX-4bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use TensorFold/Solar-Open2-250B-MLX-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "TensorFold/Solar-Open2-250B-MLX-4bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "TensorFold/Solar-Open2-250B-MLX-4bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TensorFold/Solar-Open2-250B-MLX-4bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use TensorFold/Solar-Open2-250B-MLX-4bit with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "TensorFold/Solar-Open2-250B-MLX-4bit"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default TensorFold/Solar-Open2-250B-MLX-4bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use TensorFold/Solar-Open2-250B-MLX-4bit with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "TensorFold/Solar-Open2-250B-MLX-4bit"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "TensorFold/Solar-Open2-250B-MLX-4bit" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 5,339 Bytes
c444e5d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 | #!/bin/zsh
set -euo pipefail
SCRIPT_DIR="${0:A:h}"
REPO_DIR="${SCRIPT_DIR:h}"
BASE="${OMLX_MLX_LM_DIR:-/Applications/oMLX.app/Contents/Resources/Python/framework-mlx-base/lib/python3.11/site-packages/mlx_lm}"
PY="${OMLX_PYTHON:-/Applications/oMLX.app/Contents/Resources/Python/cpython-3.11/bin/python3.11}"
OMLX_RESOURCES="${OMLX_RESOURCES:-/Applications/oMLX.app/Contents/Resources}"
PREFIX_CACHE="$OMLX_RESOURCES/omlx/cache/prefix_cache.py"
STAMP="$(date +%Y%m%d-%H%M%S)"
if [[ "$(id -u)" -ne 0 ]]; then
echo "Run this installer with sudo so it can patch the OMLX app bundle."
exit 1
fi
test -f "$REPO_DIR/solar_open2.py"
test -f "$SCRIPT_DIR/solar_open2_tool_parser.py"
test -f "$BASE/tokenizer_utils.py"
test -f "$PREFIX_CACHE"
mkdir -p "$BASE/models" "$BASE/tool_parsers"
cp "$BASE/tokenizer_utils.py" "$BASE/tokenizer_utils.py.bak-$STAMP"
cp "$PREFIX_CACHE" "$PREFIX_CACHE.bak-$STAMP"
if [[ -f "$BASE/models/solar_open2.py" ]]; then
cp "$BASE/models/solar_open2.py" "$BASE/models/solar_open2.py.bak-$STAMP"
fi
if [[ -f "$BASE/tool_parsers/solar_open2.py" ]]; then
cp "$BASE/tool_parsers/solar_open2.py" "$BASE/tool_parsers/solar_open2.py.bak-$STAMP"
fi
install -m 0644 "$REPO_DIR/solar_open2.py" "$BASE/models/solar_open2.py"
install -m 0644 "$SCRIPT_DIR/solar_open2_tool_parser.py" "$BASE/tool_parsers/solar_open2.py"
TOKENIZER_UTILS="$BASE/tokenizer_utils.py" "$PY" - <<'PY'
import os
from pathlib import Path
path = Path(os.environ["TOKENIZER_UTILS"])
text = path.read_text(encoding="utf-8")
think_marker = ' ("<|think:start|>", "<|think:end|>"),\n'
if think_marker not in text:
anchor = ' ("<longcat_think>", "</longcat_think>"),\n'
if anchor not in text:
raise SystemExit("Could not find the thinking-token list in tokenizer_utils.py")
text = text.replace(anchor, anchor + think_marker, 1)
parser_marker = ' return "solar_open2"\n'
if parser_marker not in text:
anchor = (
' elif "<|tool_list_start|>" in chat_template:\n'
' return "pythonic"\n'
)
insert = (
' elif "<|tool_call:start|>" in chat_template and "<|tool_arg:start|>" in chat_template:\n'
' return "solar_open2"\n'
)
if anchor not in text:
raise SystemExit("Could not find the tool-parser inference block in tokenizer_utils.py")
text = text.replace(anchor, anchor + insert, 1)
solar_apply_marker = 'is_solar_open2 = "<|tool_call:start|>" in template and "<|tool_arg:start|>" in template and "<|think:start|>" in template\n'
if solar_apply_marker not in text:
old = (
' def apply_chat_template(self, *args, tokenize=True, **kwargs):\n'
' if "enable_thinking" not in kwargs:\n'
' kwargs["enable_thinking"] = self.has_thinking\n'
)
new = (
' def apply_chat_template(self, *args, tokenize=True, **kwargs):\n'
' template = self._chat_template or getattr(self._tokenizer, "chat_template", None) or ""\n'
' is_solar_open2 = "<|tool_call:start|>" in template and "<|tool_arg:start|>" in template and "<|think:start|>" in template\n'
' if is_solar_open2 and "reasoning_effort" not in kwargs:\n'
' enable_thinking = kwargs.pop("enable_thinking", False)\n'
' kwargs["reasoning_effort"] = "high" if enable_thinking else "none"\n'
' elif "enable_thinking" not in kwargs:\n'
' kwargs["enable_thinking"] = self.has_thinking\n'
)
if old not in text:
raise SystemExit("Could not patch TokenizerWrapper.apply_chat_template in tokenizer_utils.py")
text = text.replace(old, new, 1)
path.write_text(text, encoding="utf-8")
PY
PREFIX_CACHE="$PREFIX_CACHE" "$PY" - <<'PY'
import os
from pathlib import Path
path = Path(os.environ["PREFIX_CACHE"])
text = path.read_text(encoding="utf-8")
marker = "Solar Open2 variable ArraysCache compatibility"
if marker not in text:
old = """ cache = marker_handler.deserialize_state(
tuple(elements), meta_state
)
"""
new = """ # Solar Open2 variable ArraysCache compatibility:
# preserve all recurrent-state tensors and their token count.
if marker_handler.is_variable_length_state():
cache = marker_handler.reconstruct_cache(
{
\"states\": list(elements),
\"cache_type\": marker_class,
},
meta_state,
token_count=valid_token_count,
)
else:
cache = marker_handler.deserialize_state(
tuple(elements), meta_state
)
"""
if old not in text:
raise SystemExit("Could not patch variable ArraysCache reconstruction in prefix_cache.py")
text = text.replace(old, new, 1)
path.write_text(text, encoding="utf-8")
PY
"$PY" -m py_compile \
"$BASE/models/solar_open2.py" \
"$BASE/tool_parsers/solar_open2.py" \
"$BASE/tokenizer_utils.py" \
"$PREFIX_CACHE"
echo "Installed Solar Open2 OMLX compatibility patch. Backups use stamp $STAMP."
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