Instructions to use eyad-silx/progress 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 eyad-silx/progress 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 eyad-silx/progress # Run inference directly in the terminal: llama cli -hf eyad-silx/progress
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf eyad-silx/progress # Run inference directly in the terminal: llama cli -hf eyad-silx/progress
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf eyad-silx/progress # Run inference directly in the terminal: ./build/bin/llama cli -hf eyad-silx/progress
Use Docker
docker model run hf.co/eyad-silx/progress
- Llama new
- LM Studio
- Jan
- Ollama
How to use eyad-silx/progress with Ollama:
ollama run hf.co/eyad-silx/progress
- Unsloth Desktop
- Pi
How to use eyad-silx/progress with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf eyad-silx/progress
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": "eyad-silx/progress" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use eyad-silx/progress with Docker Model Runner:
docker model run hf.co/eyad-silx/progress
- Lemonade
How to use eyad-silx/progress with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull eyad-silx/progress
Run and chat with the model
lemonade run user.progress-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use eyad-silx/progress with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf eyad-silx/progress
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 eyad-silx/progress
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use eyad-silx/progress with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf eyad-silx/progress
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 "eyad-silx/progress" \ --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: 10,307 Bytes
95aa2b3 70d484a 95aa2b3 70d484a 95aa2b3 70d484a ebf214c 70d484a 95aa2b3 7b04507 95aa2b3 70d484a 95aa2b3 70d484a 95aa2b3 8aed8bf 95aa2b3 70d484a 95aa2b3 70d484a 95aa2b3 70d484a 95aa2b3 70d484a 95aa2b3 ebf214c 70d484a ebf214c 70d484a 95aa2b3 ebf214c 95aa2b3 70d484a 95aa2b3 ebf214c 70d484a ebf214c 70d484a 95aa2b3 ebf214c 70d484a 95aa2b3 70d484a 95aa2b3 | 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 | #!/usr/bin/env python3
"""Push Ingot (SN97) build-pod artifacts to HF repo eyad-silx/progress.
Modes: --small (docs/logs/scripts), --big (GGUFs + QAT states), default = both.
Only uploads new/changed files (size+mtime_ns fingerprint). Files rejected by the
free-plan private-storage cap are retried on the overflow repo (silx-ai/Progress,
org quota) and, if that also fails, recorded as pending with sha256 in the
MANIFEST (bytes stay on the pod + local rescue cache).
State: /root/.hf_push_state.json. Log: /root/hf_push.log.
"""
import argparse, fcntl, glob, hashlib, json, os, sys
from datetime import datetime, timezone
from pathlib import Path
from huggingface_hub import HfApi
REPO = "eyad-silx/progress"
# Free-plan private-storage caps (~20 GiB user eyad-silx, org silx-ai also full).
# Files that hit the cap overflow to this private org repo (token has repo.write):
OVERFLOW_REPO = "silx-ai/Progress"
OVERFLOW_PREFIX = "ingot-backup/"
TOKEN = Path("/root/.hf_token").read_text().strip()
STATE_P = Path("/root/.hf_push_state.json")
LOG_P = Path("/root/hf_push.log")
README = """# Ingot (SN97) challenger build β progress proof
Automated backup of build/train/eval artifacts from the H100 pod (RunPod, 1x H100 NVL).
Pushed by `hf_push.py` β checks hourly and uploads any new/changed artifact.
- `king-ix/` β incumbent king GGUF (Ingot-IX-27B-Q2) + provenance files (baseline)
- `chal-identity/`, `chal-v1/`, `chal-n2/`, `chal-norms/` β challenger GGUF iterations
(scale-refit / QAT variants; same 27B Q2 architecture as the king)
- `states/` β QAT state checkpoints (`t0..tN.safetensors`); the quota-blocked ones
(t2βt9, t15) are stored as `states/missing_t2-t9_t15.tar.zst` (restore: `tar --zstd -xf`)
- `chal-n2/chal-norms.gguf.zst` β zstd-19 archive of the chal-n2 GGUF, uploaded compressed
to fit the free-plan private-storage cap (raw sha256 in MANIFEST; restore: `zstd -d`)
- `artifacts/` β `HANDOFF.md`, build/train/eval scripts, run logs, sample draws,
measurement results (`measure*.jsonl`, `pick*.jsonl`, `drawn.jsonl`)
- `MANIFEST.md` β size + sha256 + upload time of every artifact (regenerated each push),
including a "Pending" section for files blocked by the free-plan private-storage cap
(their bytes are preserved on the build pod and in a local rescue cache)
- `PROGRESS.md` β push history
The GGUFs are ~6.8 GB each (PQ2_0 quantized 27B linear-attention models).
Note: chal-identity's GGUF is byte-identical to king-ix's (sha256 in MANIFEST) β the
identity refit test round-trips the king exactly.
"""
def now():
return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
def log(evt, **kw):
line = json.dumps({"t": now(), "event": evt, **kw})
with open(LOG_P, "a") as f:
f.write(line + "\n")
print(line, flush=True)
def sha256(p):
h = hashlib.sha256()
with open(p, "rb") as f:
for chunk in iter(lambda: f.read(1 << 24), b""):
h.update(chunk)
return h.hexdigest()
def load_state():
return json.loads(STATE_P.read_text()) if STATE_P.exists() else {}
def save_state(s):
STATE_P.write_text(json.dumps(s, indent=1, sort_keys=True))
def small_tracks():
t = [("/root/HANDOFF.md", "artifacts/HANDOFF.md")]
for pat, dest in [("/root/*.py", "artifacts/scripts/"),
("/root/*.sh", "artifacts/scripts/"),
("/root/*.jsonl", "artifacts/"),
("/root/*.json", "artifacts/"),
("/root/*.log", "artifacts/logs/")]:
for p in sorted(glob.glob(pat)):
name = os.path.basename(p)
if name in ("hf_push.log", "hf_push_nohup.log"):
continue
t.append((p, dest + name))
for extra in ("README.md", "LICENSE", "NOTICE.txt"):
p = f"/root/models/king-ix/{extra}"
if os.path.exists(p):
t.append((p, f"king-ix/{extra}"))
return t
def big_tracks():
# priority order: newest challenger first (pod lifetime is uncertain)
t = [("/root/models/chal-identity/Ingot-IX-27B-Q2.gguf", "chal-identity/Ingot-IX-27B-Q2.gguf"),
("/root/models/chal-v1/chal-v1.gguf", "chal-v1/chal-v1.gguf"),
("/root/models/chal-n2/chal-norms.gguf", "chal-n2/chal-norms.gguf"),
("/root/models/chal-norms/chal-norms.gguf", "chal-norms/chal-norms.gguf"),
("/root/models/king-ix/Ingot-IX-27B-Q2.gguf", "king-ix/Ingot-IX-27B-Q2.gguf")]
# NOTE: zstd-19 archives (chal-n2/chal-norms.gguf.zst, states_missing_t2-t9_t15.tar.zst)
# exist on the pod but are NOT tracked: the quota check rejects any new LFS blob right now,
# even 348 MB (tested 04:37 UTC Oct 26). Track them again once a cap is lifted β or just
# let the raw files above push, which the cap will then allow too.
for p in sorted(glob.glob("/root/states/*.safetensors")):
t.append((p, "states/" + os.path.basename(p)))
return t
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--small", action="store_true")
ap.add_argument("--big", action="store_true")
args = ap.parse_args()
if args.small or args.big:
tracks = (small_tracks() if args.small else []) + (big_tracks() if args.big else [])
else:
tracks = small_tracks() + big_tracks()
lockf = open("/root/.hf_push.lock", "w")
try:
fcntl.flock(lockf, fcntl.LOCK_EX | fcntl.LOCK_NB)
except BlockingIOError:
log("skipped", reason="another push run in progress")
sys.exit(0)
state = load_state()
pending = state.get("_pending", {})
api = HfApi(token=TOKEN)
results = []
for local, repo in tracks:
if not os.path.exists(local):
continue
st = os.stat(local)
fp = f"{st.st_size}:{st.st_mtime_ns}"
prev = state.get(repo)
if prev and prev.get("fp") == fp:
results.append((repo, "unchanged"))
continue
d = None
try:
d = sha256(local)
dest = REPO
try:
api.upload_file(path_or_fileobj=local, path_in_repo=repo, repo_id=REPO,
repo_type="model", commit_message=f"push {repo}")
except Exception as e1:
if "storage limit" not in str(e1).lower():
raise
api.upload_file(path_or_fileobj=local, path_in_repo=OVERFLOW_PREFIX + repo,
repo_id=OVERFLOW_REPO, repo_type="model",
commit_message=f"overflow push {repo} (main repo private storage full)")
dest = OVERFLOW_REPO
log("overflowed", local=local, repo=repo, to=OVERFLOW_REPO, sha256=d, size=st.st_size)
state[repo] = {"fp": fp, "sha256": d, "size": st.st_size, "uploaded_at": now(), "dest": dest}
pending.pop(repo, None)
state["_pending"] = pending
save_state(state)
if dest == REPO:
log("uploaded", local=local, repo=repo, sha256=d, size=st.st_size)
results.append((repo, "uploaded"))
except Exception as e:
entry = {"fp": fp, "size": st.st_size, "blocked_at": now()}
if d:
entry["sha256"] = d
pending[repo] = entry
state["_pending"] = pending
save_state(state)
log("error", local=local, repo=repo, err=repr(e)[:400])
results.append((repo, "FAILED"))
# regenerate docs (manifest / progress / readme) from state
try:
manifest = ["# Manifest β eyad-silx/progress (+ overflow repo silx-ai/Progress)", "",
"Files with `stored in` = silx-ai/Progress live at `ingot-backup/<repo path>` in that repo.",
"Free-plan private-storage caps (~20 GiB user eyad-silx; org silx-ai also at cap) block",
"the rest β see the Pending section; those bytes live on the build pod and in a local",
"rescue cache, and push automatically once a cap is lifted (plan upgrade / space freed).", "",
"| repo path | size (bytes) | sha256 | uploaded (UTC) | stored in |",
"|---|---|---|---|---|"]
for repo in sorted(k for k in state if not k.startswith("_")):
v = state[repo]
manifest.append(f"| `{repo}` | {v['size']:,} | `{v['sha256']}` | {v['uploaded_at']} | {v.get('dest', REPO)} |")
if pending:
manifest += ["", "## Pending β blocked by private-storage quota", "",
"| repo path | size (bytes) | sha256 | blocked (UTC) |",
"|---|---|---|---|"]
for repo in sorted(pending):
v = pending[repo]
manifest.append(f"| `{repo}` | {v['size']:,} | `{v.get('sha256', '(hash pending)')}` | {v['blocked_at']} |")
Path("/tmp/MANIFEST.md").write_text("\n".join(manifest) + "\n")
api.upload_file(path_or_fileobj="/tmp/MANIFEST.md", path_in_repo="MANIFEST.md",
repo_id=REPO, repo_type="model", commit_message="update MANIFEST.md")
hist = [json.loads(l) for l in LOG_P.read_text().splitlines()[-80:] if l.strip()]
prog = ["# Progress β push history", "", f"Last run: {now()}", ""]
prog += [f"- `{h['t']}` **{h['event']}** {h.get('repo', h.get('local', ''))}" for h in hist]
Path("/tmp/PROGRESS.md").write_text("\n".join(prog) + "\n")
api.upload_file(path_or_fileobj="/tmp/PROGRESS.md", path_in_repo="PROGRESS.md",
repo_id=REPO, repo_type="model", commit_message="update PROGRESS.md")
Path("/tmp/README_REPO.md").write_text(README)
api.upload_file(path_or_fileobj="/tmp/README_REPO.md", path_in_repo="README.md",
repo_id=REPO, repo_type="model", commit_message="README")
except Exception as e:
log("error", step="docs", err=repr(e)[:500])
n_up = sum(1 for r in results if r[1] == "uploaded")
n_un = sum(1 for r in results if r[1] == "unchanged")
n_fail = sum(1 for r in results if r[1] == "FAILED")
log("run_done", uploaded=n_up, unchanged=n_un, failed=n_fail,
pending=len(pending))
sys.exit(1 if n_fail else 0)
if __name__ == "__main__":
main()
|