Text Generation
Transformers
Safetensors
English
gpt2
causal-lm
nanogpt
bpe
educational
base-model
Eval Results (legacy)
text-generation-inference
Instructions to use SlayerLab/pollock-mini-lm-125m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SlayerLab/pollock-mini-lm-125m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SlayerLab/pollock-mini-lm-125m")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SlayerLab/pollock-mini-lm-125m") model = AutoModelForCausalLM.from_pretrained("SlayerLab/pollock-mini-lm-125m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use SlayerLab/pollock-mini-lm-125m with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SlayerLab/pollock-mini-lm-125m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SlayerLab/pollock-mini-lm-125m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SlayerLab/pollock-mini-lm-125m
- SGLang
How to use SlayerLab/pollock-mini-lm-125m 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 "SlayerLab/pollock-mini-lm-125m" \ --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": "SlayerLab/pollock-mini-lm-125m", "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 "SlayerLab/pollock-mini-lm-125m" \ --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": "SlayerLab/pollock-mini-lm-125m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SlayerLab/pollock-mini-lm-125m with Docker Model Runner:
docker model run hf.co/SlayerLab/pollock-mini-lm-125m
Finalize Pollock 1.3 release metadata
Browse files- README.md +4 -4
- inference-samples/README.md +2 -2
- inference-samples/config.json +1 -2
- inference-samples/generate.py +4 -10
- inference-samples/results.json +1 -1
- release_manifest.json +11 -12
- training-history/r005.md +1 -1
README.md
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### Stałe próbki inferencji
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Wspólny zestaw [`fixed-sampling-v1`](./inference-samples/README.md) pokazuje te same cztery prompty wygenerowane przez r001-r005.
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| Rewizja | Wydanie | Wagi | Historia |
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|---|---|---|---|
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| **r005** | **Pollock 1.3
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| r004 | Pollock 1.2 | [`30feb81`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/30feb81e5097eef13b939e1827d98e0458bf602d) | [`r004.md`](./training-history/r004.md) |
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| r003 | Pollock 1.1 | [`698984b`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/698984b1d1b96c9b6ffaff00c7fc2e78e140e842) | [`r003.md`](./training-history/r003.md) |
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| r002 | Pollock 1.0 | [`5e571cd`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/5e571cde09ef2d1124e13d1c31d0b75f8bd0e513) | [`r002.md`](./training-history/r002.md) |
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### Fixed inference samples
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The shared [`fixed-sampling-v1`](./inference-samples/README.md) suite runs the same four prompts on r001-r005.
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| Revision | Release | Weights | History |
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|---|---|---|---|
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| **r005** | **Pollock 1.3
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| r004 | Pollock 1.2 | [`30feb81`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/30feb81e5097eef13b939e1827d98e0458bf602d) | [`r004.md`](./training-history/r004.md) |
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| r003 | Pollock 1.1 | [`698984b`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/698984b1d1b96c9b6ffaff00c7fc2e78e140e842) | [`r003.md`](./training-history/r003.md) |
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| r002 | Pollock 1.0 | [`5e571cd`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/5e571cde09ef2d1124e13d1c31d0b75f8bd0e513) | [`r002.md`](./training-history/r002.md) |
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### Stałe próbki inferencji
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+
Wspólny zestaw [`fixed-sampling-v1`](./inference-samples/README.md) pokazuje te same cztery prompty wygenerowane przez r001-r005. Wszystkie rewizje są ładowane z pełnych, niezmiennych SHA commitów, a SHA-256 każdego pliku z wagami jest sprawdzane przed inferencją. Referencyjny protokół używa macOS 26.2 na arm64, CPU, float32, jednego wątku, Transformers 5.15.1, seed 1337 resetowanego dla każdego promptu, temperature 0.7, top-k 50 i limitu 100 nowych tokenów.
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| Rewizja | Wydanie | Wagi | Historia |
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|---|---|---|---|
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| **r005** | **Pollock 1.3** | [`e780025`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/e780025f15e06bc3765a74d973906eb8a11c022c) | [`r005.md`](./training-history/r005.md) |
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| r004 | Pollock 1.2 | [`30feb81`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/30feb81e5097eef13b939e1827d98e0458bf602d) | [`r004.md`](./training-history/r004.md) |
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| r003 | Pollock 1.1 | [`698984b`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/698984b1d1b96c9b6ffaff00c7fc2e78e140e842) | [`r003.md`](./training-history/r003.md) |
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| r002 | Pollock 1.0 | [`5e571cd`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/5e571cde09ef2d1124e13d1c31d0b75f8bd0e513) | [`r002.md`](./training-history/r002.md) |
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### Fixed inference samples
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+
The shared [`fixed-sampling-v1`](./inference-samples/README.md) suite runs the same four prompts on r001-r005. All revisions are loaded from full immutable commit SHAs, and every weight-file SHA-256 is verified before inference. The reference protocol uses macOS 26.2 on arm64, CPU float32 with one thread, Transformers 5.15.1, seed 1337 reset for every prompt, temperature 0.7, top-k 50, and a 100-new-token limit.
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| Revision | Release | Weights | History |
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|---|---|---|---|
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| **r005** | **Pollock 1.3** | [`e780025`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/e780025f15e06bc3765a74d973906eb8a11c022c) | [`r005.md`](./training-history/r005.md) |
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| r004 | Pollock 1.2 | [`30feb81`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/30feb81e5097eef13b939e1827d98e0458bf602d) | [`r004.md`](./training-history/r004.md) |
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| r003 | Pollock 1.1 | [`698984b`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/698984b1d1b96c9b6ffaff00c7fc2e78e140e842) | [`r003.md`](./training-history/r003.md) |
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| r002 | Pollock 1.0 | [`5e571cd`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/5e571cde09ef2d1124e13d1c31d0b75f8bd0e513) | [`r002.md`](./training-history/r002.md) |
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inference-samples/README.md
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| r002 | Pollock 1.0 | [`5e571cd`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/5e571cde09ef2d1124e13d1c31d0b75f8bd0e513) | `2aada5b26abe9ce3b70af393d77be4ed1a799a7205b9c0dd5cfaff8bcaabce68` |
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| r003 | Pollock 1.1 | [`698984b`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/698984b1d1b96c9b6ffaff00c7fc2e78e140e842) | `3a9964a0ba5f6d20ef6061d2a7e4442c1b001209ebe80f7b7148a25573decaa9` |
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| r004 | Pollock 1.2 | [`30feb81`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/30feb81e5097eef13b939e1827d98e0458bf602d) | `3c453f22d4bb70228e5cca79e183a425e0f0221e54bd782d12027c42c943c880` |
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| r005 | Pollock 1.3 |
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## Results
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## Reproduce or verify
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Run from this directory. The check downloads approximately
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```bash
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python -m venv .venv
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| r002 | Pollock 1.0 | [`5e571cd`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/5e571cde09ef2d1124e13d1c31d0b75f8bd0e513) | `2aada5b26abe9ce3b70af393d77be4ed1a799a7205b9c0dd5cfaff8bcaabce68` |
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| r003 | Pollock 1.1 | [`698984b`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/698984b1d1b96c9b6ffaff00c7fc2e78e140e842) | `3a9964a0ba5f6d20ef6061d2a7e4442c1b001209ebe80f7b7148a25573decaa9` |
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| r004 | Pollock 1.2 | [`30feb81`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/30feb81e5097eef13b939e1827d98e0458bf602d) | `3c453f22d4bb70228e5cca79e183a425e0f0221e54bd782d12027c42c943c880` |
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| r005 | Pollock 1.3 | [`e780025`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/e780025f15e06bc3765a74d973906eb8a11c022c) | `3db43dfa44622e8156f060fee6f16875e108db4f5f949969cb91c0ca8cdce32c` |
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## Results
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## Reproduce or verify
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Run from this directory. The check downloads approximately 2.4 GB of published model artifacts if they are not already cached.
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```bash
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python -m venv .venv
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inference-samples/config.json
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{
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"revision_id": "r005",
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"release": "Pollock 1.3",
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"commit": "
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"local_path": "..",
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"model_sha256": "3db43dfa44622e8156f060fee6f16875e108db4f5f949969cb91c0ca8cdce32c"
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}
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],
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{
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"revision_id": "r005",
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"release": "Pollock 1.3",
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"commit": "e780025f15e06bc3765a74d973906eb8a11c022c",
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"model_sha256": "3db43dfa44622e8156f060fee6f16875e108db4f5f949969cb91c0ca8cdce32c"
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}
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],
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inference-samples/generate.py
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]
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for revision in results["revisions"]:
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commit = revision["commit"]
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else:
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commit_url = (
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f"https://huggingface.co/{results['model_id']}/commit/{commit}"
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)
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weights = f"[`{commit[:7]}`]({commit_url})"
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lines.append(
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f"| {revision['revision_id']} | {revision['release']} | "
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f"{weights} | `{revision['model_sha256']}` |"
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[
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"## Reproduce or verify",
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"",
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"Run from this directory. The check downloads approximately
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"published model artifacts if they are not already cached
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"r005 artifact is loaded from the package root.",
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"",
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"```bash",
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"python -m venv .venv",
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]
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for revision in results["revisions"]:
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commit = revision["commit"]
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commit_url = f"https://huggingface.co/{results['model_id']}/commit/{commit}"
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weights = f"[`{commit[:7]}`]({commit_url})"
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lines.append(
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f"| {revision['revision_id']} | {revision['release']} | "
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f"{weights} | `{revision['model_sha256']}` |"
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[
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"## Reproduce or verify",
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"",
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"Run from this directory. The check downloads approximately 2.4 GB of "
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"published model artifacts if they are not already cached.",
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"",
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"```bash",
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"python -m venv .venv",
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inference-samples/results.json
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{
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"revision_id": "r005",
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"release": "Pollock 1.3",
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"commit": "
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"model_sha256": "3db43dfa44622e8156f060fee6f16875e108db4f5f949969cb91c0ca8cdce32c",
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"loaded_model_version": "1.3",
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"results": [
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{
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"revision_id": "r005",
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"release": "Pollock 1.3",
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"commit": "e780025f15e06bc3765a74d973906eb8a11c022c",
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"model_sha256": "3db43dfa44622e8156f060fee6f16875e108db4f5f949969cb91c0ca8cdce32c",
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"loaded_model_version": "1.3",
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"results": [
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release_manifest.json
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"release": "Pollock 1.3",
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"model_id": "SlayerLab/pollock-mini-lm-125m",
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"publication": {
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"weights_commit":
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"version_tag":
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"
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"publication_commit_pending": true
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},
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"source_checkpoint": {
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"path_in_training_workspace": "runs/pollock-r005-v1p3/checkpoints/ckpt-final.pt",
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"seed": 1337,
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"prompt_count": 4,
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"revision_count": 5,
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"local_review_artifact":
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"exact_replay_verified": true,
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"publication_commit_pending":
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},
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"conversion": {
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"target_class": "GPT2LMHeadModel",
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".gitattributes": {"sha256": "c759491a998899dbefaec4d51cc791e68c714a37dd9f9829020a368788fe3063"},
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"CHANGELOG.md": {"sha256": "74a87cefef26ff31a9b9828df875d8c3a68383e13e360ff7ce201cfceb9af915"},
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"LICENSE.md": {"sha256": "162b97898a956d43d0a5428d1999bac3e42e2a97eb01a79f73ad719a4a15c412"},
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-
"README.md": {"sha256": "
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"assets/pollock-mini-lm-avatar-320.png": {"sha256": "7be10cc9d0f4aedeb298d9a5d722b2b2ac5b2e219b3884916dbca16198f70750"},
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"benchmarks/english.json": {"sha256": "c9210b71334898140b543ce684e9209c1919bbcdceb43224f4c5770f4fb93db7"},
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"config.json": {"sha256": "ba6775a805995b19d738604bcb035fccf012a0f4596b156d9945fd3a55c50d0b"},
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"generation_config.json": {"sha256": "435beb27be51f0ed054f4a011e5109d125cdadc118b8799b18b155cc798d94d2"},
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"inference-samples/README.md": {"sha256": "
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"inference-samples/config.json": {"sha256": "
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"inference-samples/generate.py": {"sha256": "
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"inference-samples/requirements.txt": {"sha256": "584583335ffb3061aa62058aee725b0de25fed7523904fbd13fb4622f601943d"},
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-
"inference-samples/results.json": {"sha256": "
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"model.safetensors": {"sha256": "3db43dfa44622e8156f060fee6f16875e108db4f5f949969cb91c0ca8cdce32c"},
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"special_tokens_map.json": {"sha256": "8b2257a17ea997bb038f43b133aefec82344ad2b8abc2b8a02a6c0a994ed624e"},
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"tokenizer.json": {"sha256": "3733307577230bb4802d2c774d8e2323f7f64e4139c13712736a57daf91bdda1"},
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"training-history/r002.md": {"sha256": "2b777a46e34fad856f323742dd0adf7f2c8ba6ee73a2ba2106d727644b1c8ca8"},
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"training-history/r003.md": {"sha256": "9fb6a1e04bdadada6f8760cc64a96e538ee7d23b7fe112959d8ba45b89ca8ada"},
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"training-history/r004.md": {"sha256": "968191c3a314989e5bfc749cd79e105ae06d5622c24b0f870435e698c969ac63"},
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-
"training-history/r005.md": {"sha256": "
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}
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}
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"release": "Pollock 1.3",
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"model_id": "SlayerLab/pollock-mini-lm-125m",
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"publication": {
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"weights_commit": "e780025f15e06bc3765a74d973906eb8a11c022c",
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"version_tag": "v1.3",
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"publication_commit_pending": false
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},
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"source_checkpoint": {
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"path_in_training_workspace": "runs/pollock-r005-v1p3/checkpoints/ckpt-final.pt",
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"seed": 1337,
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"prompt_count": 4,
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"revision_count": 5,
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"local_review_artifact": false,
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"exact_replay_verified": true,
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"publication_commit_pending": false
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},
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| 89 |
"conversion": {
|
| 90 |
"target_class": "GPT2LMHeadModel",
|
|
|
|
| 100 |
".gitattributes": {"sha256": "c759491a998899dbefaec4d51cc791e68c714a37dd9f9829020a368788fe3063"},
|
| 101 |
"CHANGELOG.md": {"sha256": "74a87cefef26ff31a9b9828df875d8c3a68383e13e360ff7ce201cfceb9af915"},
|
| 102 |
"LICENSE.md": {"sha256": "162b97898a956d43d0a5428d1999bac3e42e2a97eb01a79f73ad719a4a15c412"},
|
| 103 |
+
"README.md": {"sha256": "1958e268e5ac6838941b8225d27f506bbce4e37c8f76a9045d5913129e874ad7"},
|
| 104 |
"assets/pollock-mini-lm-avatar-320.png": {"sha256": "7be10cc9d0f4aedeb298d9a5d722b2b2ac5b2e219b3884916dbca16198f70750"},
|
| 105 |
"benchmarks/english.json": {"sha256": "c9210b71334898140b543ce684e9209c1919bbcdceb43224f4c5770f4fb93db7"},
|
| 106 |
"config.json": {"sha256": "ba6775a805995b19d738604bcb035fccf012a0f4596b156d9945fd3a55c50d0b"},
|
| 107 |
"generation_config.json": {"sha256": "435beb27be51f0ed054f4a011e5109d125cdadc118b8799b18b155cc798d94d2"},
|
| 108 |
+
"inference-samples/README.md": {"sha256": "178c85ec0e003754371bde7aea0af55fe918c8d45f8cad79ec371264f52210f1"},
|
| 109 |
+
"inference-samples/config.json": {"sha256": "fb504c65e8c6e01aa8d7f235c7f2ab0a88b95b2acbd884ec1e1d0e083669cdec"},
|
| 110 |
+
"inference-samples/generate.py": {"sha256": "807a9946472bd0087dd2b9260ee90d1dea09785d24d4f923f028667c53a23933"},
|
| 111 |
"inference-samples/requirements.txt": {"sha256": "584583335ffb3061aa62058aee725b0de25fed7523904fbd13fb4622f601943d"},
|
| 112 |
+
"inference-samples/results.json": {"sha256": "c2eee21056ddd95eb3ece7d5bcd93242e62d90302814c0178c6beb4425d81553"},
|
| 113 |
"model.safetensors": {"sha256": "3db43dfa44622e8156f060fee6f16875e108db4f5f949969cb91c0ca8cdce32c"},
|
| 114 |
"special_tokens_map.json": {"sha256": "8b2257a17ea997bb038f43b133aefec82344ad2b8abc2b8a02a6c0a994ed624e"},
|
| 115 |
"tokenizer.json": {"sha256": "3733307577230bb4802d2c774d8e2323f7f64e4139c13712736a57daf91bdda1"},
|
|
|
|
| 118 |
"training-history/r002.md": {"sha256": "2b777a46e34fad856f323742dd0adf7f2c8ba6ee73a2ba2106d727644b1c8ca8"},
|
| 119 |
"training-history/r003.md": {"sha256": "9fb6a1e04bdadada6f8760cc64a96e538ee7d23b7fe112959d8ba45b89ca8ada"},
|
| 120 |
"training-history/r004.md": {"sha256": "968191c3a314989e5bfc749cd79e105ae06d5622c24b0f870435e698c969ac63"},
|
| 121 |
+
"training-history/r005.md": {"sha256": "a25c2932701695dd7402582510adbe71e50a6fcc2da0fb3c6224a846dfdb22df"}
|
| 122 |
}
|
| 123 |
}
|
training-history/r005.md
CHANGED
|
@@ -44,4 +44,4 @@ LAMBADA perplexity was **47.328614**. Benchmarks used complete splits, zero few-
|
|
| 44 |
|
| 45 |
## Conversion and release status
|
| 46 |
|
| 47 |
-
The native checkpoint was converted to `GPT2LMHeadModel`. A deterministic `[2, 64]` parity probe produced maximum absolute logit error **4.76837158203125e-06**. The fixed inference suite was replayed exactly on its recorded macOS 26.2 arm64 environment against
|
|
|
|
| 44 |
|
| 45 |
## Conversion and release status
|
| 46 |
|
| 47 |
+
The native checkpoint was converted to `GPT2LMHeadModel`. A deterministic `[2, 64]` parity probe produced maximum absolute logit error **4.76837158203125e-06**. The fixed inference suite was replayed exactly on its recorded macOS 26.2 arm64 environment against immutable Hugging Face weights commit [`e780025`](https://huggingface.co/SlayerLab/pollock-mini-lm-125m/commit/e780025f15e06bc3765a74d973906eb8a11c022c), with the expected model-file SHA-256 verified before loading.
|