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"
Download benchmarks/scripts/10_code_hard.py from Voidstackloop/Tessera-125B-MoE: direct link, hf CLI and curl.
- Browser
- Download file 17.8 kB
-
https://huggingface.co/Voidstackloop/Tessera-125B-MoE/resolve/main/benchmarks/scripts/10_code_hard.py
- Command line
-
hf download hf://Voidstackloop/Tessera-125B-MoE/benchmarks/scripts/10_code_hard.py
-
curl -L -o 10_code_hard.py https://huggingface.co/Voidstackloop/Tessera-125B-MoE/resolve/main/benchmarks/scripts/10_code_hard.py
17.8 kB
| #!/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") | |