Instructions to use Voidstackloop/Tessera-125B-MoE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Voidstackloop/Tessera-125B-MoE with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Voidstackloop/Tessera-125B-MoE:IQ2_S # Run inference directly in the terminal: llama cli -hf Voidstackloop/Tessera-125B-MoE:IQ2_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Voidstackloop/Tessera-125B-MoE:IQ2_S # Run inference directly in the terminal: llama cli -hf Voidstackloop/Tessera-125B-MoE:IQ2_S
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Voidstackloop/Tessera-125B-MoE:IQ2_S # Run inference directly in the terminal: ./llama-cli -hf Voidstackloop/Tessera-125B-MoE:IQ2_S
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Voidstackloop/Tessera-125B-MoE:IQ2_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf Voidstackloop/Tessera-125B-MoE:IQ2_S
Use Docker
docker model run hf.co/Voidstackloop/Tessera-125B-MoE:IQ2_S
- Llama new
- LM Studio
- Jan
- Ollama
How to use Voidstackloop/Tessera-125B-MoE with Ollama:
ollama run hf.co/Voidstackloop/Tessera-125B-MoE:IQ2_S
- Unsloth Desktop
- Pi
How to use Voidstackloop/Tessera-125B-MoE with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Voidstackloop/Tessera-125B-MoE:IQ2_S
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Voidstackloop/Tessera-125B-MoE:IQ2_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Voidstackloop/Tessera-125B-MoE with Docker Model Runner:
docker model run hf.co/Voidstackloop/Tessera-125B-MoE:IQ2_S
- Lemonade
How to use Voidstackloop/Tessera-125B-MoE with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Voidstackloop/Tessera-125B-MoE:IQ2_S
Run and chat with the model
lemonade run user.Tessera-125B-MoE-IQ2_S
List all available models
lemonade list
- Hermes Agent
How to use Voidstackloop/Tessera-125B-MoE with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Voidstackloop/Tessera-125B-MoE:IQ2_S
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 Voidstackloop/Tessera-125B-MoE:IQ2_S
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Voidstackloop/Tessera-125B-MoE with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Voidstackloop/Tessera-125B-MoE:IQ2_S
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 "Voidstackloop/Tessera-125B-MoE:IQ2_S" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 17,839 Bytes
0598ff3 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
10_code_hard.py - harder coding benchmarks behind `07_domain_eval.py run --suite codehard --hard-n N` (N tasks per benchmark, nested prefixes):
lcb LiveCodeBench code_generation_lite, release 6: 175 AtCoder and LeetCode contest problems from 2025-01 to 2025-04 (newer than most training
data), about 40 hidden tests each; the model writes a whole program (stdin/stdout) or a LeetCode class, every test must pass.
The task id carries the difficulty: lcb_easy_..., lcb_medium_..., lcb_hard_...
crux CRUXEval (800 short Python functions), half output prediction (CRUXEval-O) and half input prediction (CRUXEval-I): code understanding,
checked by running `assert f(...) == ...` on the model's answer.
Public data, no token. Needs `pip install datasets` and network (the LiveCodeBench file is about 1 GB). THE MODEL-WRITTEN CODE IS EXECUTED (see 07).
Use `--max-tokens 4096 --ctx 8192` for the lcb tasks (long answers). Checks:
python 10_code_hard.py selftest lookup-table solutions pass every test of a few lcb problems, wrong ones fail; crux references pass
python 10_code_hard.py validate runs all 800 crux references and prints the ids to put in BAD_CRUX
"""
import base64
import io
import json
import os
import pickle
import random
import re
import subprocess
import sys
import tempfile
import time
import zlib
from pathlib import Path
LCB_FILES = ("test6",) # release 6 (2025-01 .. 2025-04); add "test5" (2024-09 .. 2025-01) for a bigger pool
BAD_CRUX = set() # crux ids whose own reference fails (filled by `validate`)
HEADER = ("from string import *\nfrom re import *\nfrom datetime import *\nfrom collections import *\nfrom heapq import *\nfrom bisect import *\n"
"from copy import deepcopy\nfrom math import *\nfrom typing import *\nfrom functools import *\nfrom itertools import *\nfrom operator import *\n"
"from random import *\nfrom statistics import *\nimport sys, heapq, bisect, math, collections, itertools, functools, random, string, re, json, copy\n")
FUNC_RUNNER = '''import json, sys
ns = {}
exec(compile(open("sol.py", encoding="utf-8").read(), "sol.py", "exec"), ns)
f = getattr(ns["Solution"](), sys.argv[1])
for inp, out in json.load(open("tests.json", encoding="utf-8")):
got = f(*[json.loads(l) for l in inp.split("\\n") if l.strip()])
if json.loads(json.dumps(got)) != json.loads(out):
print("FAIL")
sys.exit(1)
print("OK")
'''
# ---------------------------------------------------------------------------------------------------------------------------------- LiveCodeBench
class _Plain(pickle.Unpickler):
"""The private tests are a pickled JSON string; a string needs no globals, so refuse every one (a dataset must not run code while loading)."""
def find_class(self, module, name):
raise pickle.UnpicklingError(f"global {module}.{name} refused")
def decode_private(s):
return json.loads(_Plain(io.BytesIO(zlib.decompress(base64.b64decode(s)))).load())
def lcb_tests(row):
return json.loads(row["public_test_cases"]) + decode_private(row["private_test_cases"])
def _same(got, want):
g, w = [l.rstrip() for l in got.strip().splitlines()], [l.rstrip() for l in want.strip().splitlines()]
if len(g) != len(w):
return False
for a, b in zip(g, w):
if a == b:
continue
ta, tb = a.split(), b.split()
if len(ta) != len(tb):
return False
for x, y in zip(ta, tb):
if x == y:
continue
if re.fullmatch(r"-?\d+", x) and re.fullmatch(r"-?\d+", y): # integers are exact
return False
try:
if abs(float(x) - float(y)) > 1e-6 * max(1.0, abs(float(y))):
return False
except ValueError:
return False
return True
def _limits():
if os.name != "posix":
return None
import resource
return lambda: resource.setrlimit(resource.RLIMIT_AS, (2 << 30, 2 << 30))
def run_lcb(code, tests, func, total=90, per=8):
"""True when `code` passes every test: func None = a stdin/stdout program (one process per test), else a LeetCode Solution method."""
env = {**os.environ, "OPENBLAS_NUM_THREADS": "1", "OMP_NUM_THREADS": "1"}
with tempfile.TemporaryDirectory() as d:
d = Path(d)
(d / "sol.py").write_text(HEADER + code, encoding="utf-8")
t0 = time.time()
if func is None:
for t in tests:
if time.time() - t0 > total:
return False
try:
r = subprocess.run([sys.executable, "-I", "sol.py"], input=t["input"], capture_output=True, text=True, timeout=per, cwd=d, env=env,
preexec_fn=_limits())
except (subprocess.TimeoutExpired, UnicodeDecodeError):
return False
if r.returncode != 0 or not _same(r.stdout, t["output"]):
return False
return True
(d / "tests.json").write_text(json.dumps([[t["input"], t["output"]] for t in tests]), encoding="utf-8")
(d / "run.py").write_text(FUNC_RUNNER, encoding="utf-8")
try:
r = subprocess.run([sys.executable, "-I", "run.py", func], capture_output=True, text=True, timeout=total, cwd=d, env=env, preexec_fn=_limits())
except (subprocess.TimeoutExpired, UnicodeDecodeError):
return False
return r.returncode == 0 and r.stdout.strip().endswith("OK")
FUNC_DEBUG = '''import json, sys, traceback
ns = {}
exec(compile(open("sol.py", encoding="utf-8").read(), "sol.py", "exec"), ns)
f = getattr(ns["Solution"](), sys.argv[1])
for inp, out in json.load(open("tests.json", encoding="utf-8")):
try:
got = f(*[json.loads(l) for l in inp.split("\\n") if l.strip()])
except Exception:
print("Input:\\n" + inp.strip()[:300] + "\\nRuntime error:\\n" + traceback.format_exc()[-600:])
sys.exit(1)
if json.loads(json.dumps(got)) != json.loads(out):
print("Input:\\n" + inp.strip()[:300] + "\\nExpected output:\\n" + out.strip()[:300] + "\\nYour output:\\n" + json.dumps(got)[:300])
sys.exit(1)
print("OK")
'''
def first_failure(code, tests, func, per=8):
"""None when `code` passes every test in `tests` (the VISIBLE sample tests), else a short text on the first failure, for a repair prompt."""
env = {**os.environ, "OPENBLAS_NUM_THREADS": "1", "OMP_NUM_THREADS": "1"}
with tempfile.TemporaryDirectory() as d:
d = Path(d)
(d / "sol.py").write_text(HEADER + code, encoding="utf-8")
if func is None:
for t in tests:
shown = "Input:\n" + t["input"].strip()[:300]
try:
r = subprocess.run([sys.executable, "-I", "sol.py"], input=t["input"], capture_output=True, text=True, timeout=per, cwd=d, env=env,
preexec_fn=_limits())
except subprocess.TimeoutExpired:
return f"{shown}\nThe program did not finish within {per} seconds."
except UnicodeDecodeError:
return f"{shown}\nThe program printed bytes that are not valid text."
if r.returncode != 0:
return f"{shown}\nRuntime error:\n{r.stderr[-600:]}"
if not _same(r.stdout, t["output"]):
return f"{shown}\nExpected output:\n{t['output'].strip()[:300]}\nYour output:\n{r.stdout.strip()[:300]}"
return None
(d / "tests.json").write_text(json.dumps([[t["input"], t["output"]] for t in tests]), encoding="utf-8")
(d / "run.py").write_text(FUNC_DEBUG, encoding="utf-8")
try:
r = subprocess.run([sys.executable, "-I", "run.py", func], capture_output=True, text=True, timeout=per * 4, cwd=d, env=env, preexec_fn=_limits())
except subprocess.TimeoutExpired:
return "The code did not finish in time on the sample tests."
except UnicodeDecodeError:
return "The code printed bytes that are not valid text."
if r.returncode == 0 and r.stdout.strip().endswith("OK"):
return None
return (r.stdout or r.stderr).strip()[-800:] or "The code crashed."
def lcb_feedback(resp, row, func):
"""What to tell the model after a failed attempt: only the visible sample tests are used (never the hidden ones); None = no new information."""
code = last_block(resp)
if not code.strip():
return "I could not find a ```python code block in your answer. Give the complete solution in one ```python block."
bad = first_failure(code, json.loads(row["public_test_cases"]), func)
if bad is None:
return None
return "Your code fails this sample test.\n\n" + bad + "\n\nFix the code. Reply with the complete corrected solution in one ```python block."
def last_block(resp):
blocks = re.findall(r"```(?:python|py|Python)?[ \t]*\n(.*?)```", resp, flags=re.S)
return blocks[-1] if blocks else ""
def lcb_prompt(row):
if row["starter_code"]:
fmt = "You will use the following starter code to write the solution to the problem and enclose your code within delimiters."
block = row["starter_code"]
else:
fmt = ("Read the inputs from stdin solve the problem and write the answer to stdout (do not directly test on the sample inputs). Enclose your "
"code within delimiters as follows. Ensure that when the python program runs, it reads the inputs, runs the algorithm and writes output "
"to STDOUT.")
block = "# YOUR CODE HERE"
return f"### Question:\n{row['question_content']}\n\n### Format: {fmt}\n```python\n{block}\n```\n\n### Answer: (use the provided format with backticks)\n"
def lcb_rows():
from datasets import load_dataset
rows = []
for f in LCB_FILES:
rows += list(load_dataset("json", data_files=f"hf://datasets/livecodebench/code_generation_lite/{f}.jsonl", split="train"))
return rows
def pool_lcb(rnd):
rows = lcb_rows()
rnd.shuffle(rows)
T = []
for r in rows:
func = json.loads(r["metadata"] or "{}").get("func_name") if r["starter_code"] else None
def check(resp, r=r, func=func, cache={}):
code = last_block(resp)
if not code.strip():
return False
if r["question_id"] not in cache:
cache.clear()
cache[r["question_id"]] = lcb_tests(r)
return run_lcb(code, cache[r["question_id"]], func)
check.feedback = lambda resp, r=r, func=func: lcb_feedback(resp, r, func) # used by `07 run --retry N`
T.append((f"lcb_{r['difficulty']}_{r['question_id']}", "lcb", lcb_prompt(r), check, None))
return T
# ---------------------------------------------------------------------------------------------------------------------------------- CRUXEval
def pool_crux(rnd, run_code):
from datasets import load_dataset
rows = [r for r in load_dataset("cruxeval-org/cruxeval", split="test")]
ro, ri = rows[:], rows[:]
rnd.shuffle(ro)
rnd.shuffle(ri)
O, I = [], []
for r in ro:
if f"crux_o_{r['id']}" in BAD_CRUX:
continue
pro = ("You are given a Python function and an assertion containing an input to the function. Complete the assertion with a literal (no "
"unsimplified expressions, no function calls) containing the output when executing the provided code on the given input, even if the "
"function is incorrect or incomplete. Think step by step, then end with exactly one line in this form: [ANSWER] assert f(...) == <literal> "
f"[/ANSWER]\n\n```python\n{r['code']}\nassert f({r['input']}) == ??\n```")
def check_o(resp, r=r):
m = re.findall(r"\[ANSWER\]\s*assert\s+f\(.*?\)\s*==\s*(.*?)\s*\[/ANSWER\]", resp, flags=re.S)
return bool(m) and run_code(r["code"], f"assert f({r['input']}) == ({m[-1]})", 10)
O.append((f"crux_o_{r['id']}", "crux", pro, check_o, f"[ANSWER] assert f({r['input']}) == {r['output']} [/ANSWER]"))
for r in ri:
if f"crux_i_{r['id']}" in BAD_CRUX:
continue
pri = ("You are given a Python function and an assertion containing an output of the function. Find any input such that executing the function "
"on the input leads to the given output. There may be several answers, give only one. Think step by step, then end with exactly one line "
f"in this form: [ANSWER] assert f(<your input>) == {r['output']} [/ANSWER]\n\n```python\n{r['code']}\nassert f(??) == {r['output']}\n```")
def check_i(resp, r=r):
m = re.findall(r"\[ANSWER\]\s*assert\s+f\((.*)\)\s*==", resp, flags=re.S)
return bool(m) and run_code(r["code"], f"assert f({m[-1]}) == {r['output']}", 10)
I.append((f"crux_i_{r['id']}", "crux", pri, check_i, f"[ANSWER] assert f({r['input']}) == {r['output']} [/ANSWER]"))
mixed, i = [], 0
while i < min(len(O), len(I)):
mixed += [O[i], I[i]]
i += 1
return mixed
# ---------------------------------------------------------------------------------------------------------------------------------- the suite
def build_codehard(seed, n, run_code, code_of, num):
"""[(id, category, prompt, check(response) -> bool, reference response or None)]: the first n lcb problems and the first n crux tasks."""
T = pool_lcb(random.Random(f"{seed}lcb"))[:n] + pool_crux(random.Random(f"{seed}crux"), run_code)[:n]
assert len({t[0] for t in T}) == len(T), "duplicate task ids"
return T
def _lookup_solution(row, tests):
"""A 'solution' that only looks the answers up: it passes iff the runner, the decoding and the comparison are right."""
if not row["starter_code"]:
return "import sys\nD = " + repr({t["input"]: t["output"] for t in tests}) + "\nprint(D[sys.stdin.read()], end='')\n", None
func = json.loads(row["metadata"])["func_name"]
D = {json.dumps([json.loads(l) for l in t["input"].split("\n") if l.strip()]): t["output"] for t in tests}
return f"import json\nD = {D!r}\nclass Solution:\n def {func}(self, *a):\n return json.loads(D[json.dumps(list(a))])\n", func
if __name__ == "__main__" and sys.argv[1:] in (["selftest"], ["validate"]):
import importlib
sys.path.insert(0, Path(__file__).resolve().parent.as_posix())
m = importlib.import_module("07_domain_eval")
if sys.argv[1] == "selftest":
rows = lcb_rows()
stdin, func = [r for r in rows if not r["starter_code"]][:4], [r for r in rows if r["starter_code"]][:4]
for r in stdin + func:
tests = lcb_tests(r)
code, fn = _lookup_solution(r, tests)
assert run_lcb(code, tests, fn), ("lookup solution failed", r["question_id"])
wrong = "print(0)\n" if fn is None else f"class Solution:\n def {fn}(self, *a):\n return None\n"
assert not run_lcb(wrong, tests, fn), ("wrong solution passed", r["question_id"])
assert last_block("text\n```python\nA\n```\nmore\n```python\nB\n```") == "B\n"
for r in stdin + func: # the repair feedback: a correct answer needs none, wrong / crashing / empty answers get a message
tests = json.loads(r["public_test_cases"])
good, fn = _lookup_solution(r, tests)
assert lcb_feedback("```python\n" + good + "```", r, fn) is None, ("feedback for a correct solution", r["question_id"])
bad_code = "print(0)\n" if fn is None else f"class Solution:\n def {fn}(self, *a):\n return None\n"
crash = "raise ValueError('boom')\n" if fn is None else f"class Solution:\n def {fn}(self, *a):\n raise ValueError('boom')\n"
assert "sample test" in (lcb_feedback("```python\n" + bad_code + "```", r, fn) or ""), ("no feedback for a wrong answer", r["question_id"])
assert "boom" in (lcb_feedback("```python\n" + crash + "```", r, fn) or ""), ("no error text for a crash", r["question_id"])
assert "could not find" in lcb_feedback("no code here", r, fn)
T = build_codehard(1, 10, m.run_code, m.code_of, m.num)
crux = [t for t in T if t[1] == "crux"]
bad = [t[0] for t in crux if not t[3](t[4])]
junk = [t[0] for t in T if t[1] == "crux" and t[3]("zzz 987654321")] + [t[0] for t in T if t[1] == "lcb" and t[3]("zzz 987654321")]
per = {c: sum(t[1] == c for t in T) for c in ("lcb", "crux")}
assert not bad and not junk and per == {"lcb": 10, "crux": 10}, (bad, junk, per)
print(f"selftest OK: {len(T)} tasks {per}; {len(stdin)} stdin + {len(func)} functional lcb problems pass their lookup solution and fail a wrong one; "
f"crux references pass, garbage fails")
else:
from datasets import load_dataset
bad = []
for r in load_dataset("cruxeval-org/cruxeval", split="test"):
if not m.run_code(r["code"], f"assert f({r['input']}) == ({r['output']})", 10):
bad += [f"crux_o_{r['id']}", f"crux_i_{r['id']}"]
print(f"{len(bad) // 2} crux references fail: BAD_CRUX = {set(bad)!r}")
n_ok = sum(1 for r in lcb_rows() if lcb_tests(r))
print(f"lcb: {n_ok} problems decode their tests")
|