Initial commit

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Boole-1.7B.safetensors

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LICENSE

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NOTICE

@@ -0,0 +1,17 @@
+Boole-1.7B
+Copyright 2026 Precision Numerics
+
+Boole-1.7B.safetensors and Boole-1.7B-Q1_0.gguf are licensed under
+Apache License 2.0; see LICENSE.
+
+The GGUF contains tokenizer metadata from Qwen/Qwen3-1.7B at revision
+70d244cc86ccca08cf5af4e1e306ecf908b1ad5e.
+The config.json, generation_config.json, tokenizer.json,
+tokenizer_config.json, vocab.json, and merges.txt files come from the same
+upstream revision.
+Upstream copyright notice: Copyright 2024 Alibaba Cloud.
+These upstream assets retain their Apache License 2.0 terms; see LICENSE.
+
+The safetensors checkpoint contains packed sign weights, learned scales, and
+normalization weights. The GGUF preserves the signs, converts effective scales
+to float16, stores the output head separately, and uses float32 norm weights.

README.md

@@ -0,0 +1,141 @@
+---
+license: apache-2.0
+pipeline_tag: text-generation
+library_name: gguf
+base_model: Qwen/Qwen3-1.7B
+base_model_relation: quantized
+language:
+- en
+tags:
+- qwen3
+- 1-bit
+- quantized
+- gguf
+- safetensors
+- vllm
+- humming-kernels
+---
+
+<p align="center">
+  <img src="https://huggingface.co/precision-numerics/Boole-1.7B/resolve/main/assets/logo-white-on-black.png" width="128" height="128" alt="Boole-1.7B logo">
+</p>
+
+<h1 align="center">Boole-1.7B</h1>
+
+<p align="center">A small and strong 1-bit LLM</p>
+
+<p align="center">
+  <a href="https://precisionnumerics.ai/chat/">💬 On-Device Chat</a>
+  &nbsp;&middot;&nbsp;
+  <a href="https://precisionnumerics.ai/blog/boole-1p7b">Blog</a>
+  &nbsp;&middot;&nbsp;
+  <a href="https://github.com/PrecisionNumerics/boole-demo">Code</a>
+</p>
+
+Boole-1.7B is a 1-bit language model derived from Qwen3-1.7B. Its weights take 247 MB,
+13.9× less than the BF16 original, and it keeps 85.9% of the original's ten-task
+benchmark average (50.55 vs 58.83).
+
+![Boole-1.7B against Bonsai-1.7B (1-bit and ternary), 4-bit LFM2.5 (QAD) and Granite-4.0-H-350M, on the ten-task average, each benchmark and stored weights](https://huggingface.co/precision-numerics/Boole-1.7B/resolve/main/assets/boole-under-500mb.svg)
+
+## Files
+
+| File | Runtime | Size |
+| --- | --- | --- |
+| [Boole-1.7B.safetensors](https://huggingface.co/precision-numerics/Boole-1.7B/blob/main/Boole-1.7B.safetensors) | vLLM + Humming · CUDA | 247.1 MB |
+| [Boole-1.7B-Q1_0.gguf](https://huggingface.co/precision-numerics/Boole-1.7B/blob/main/Boole-1.7B-Q1_0.gguf) | llama.cpp · CPU or CUDA | 292.1 MB |
+
+The GGUF is larger because it stores the embedding and output matrices separately.
+
+## Quick start
+
+Use the [boole-demo](https://github.com/PrecisionNumerics/boole-demo) repository, which builds
+the pinned llama.cpp and contains the vLLM + Humming loader.
+
+```bash
+git clone https://github.com/PrecisionNumerics/boole-demo.git && cd boole-demo
+hf download precision-numerics/Boole-1.7B Boole-1.7B-Q1_0.gguf --local-dir model
+bash scripts/setup_llama_cpp.sh            # GGML_CUDA=0 for CPU only
+third_party/llama.cpp/build/bin/llama-server \
+    -m model/Boole-1.7B-Q1_0.gguf -ngl 99 -c 4096 \
+    --chat-template-kwargs '{"enable_thinking": false}'
+```
+
+Use `-ngl 0` on CPU, then open the server URL. For vLLM + Humming (CUDA, vLLM 0.31.0 and
+humming-kernels 0.1.16), follow the
+[repository README](https://github.com/PrecisionNumerics/boole-demo#vllm--humming).
+
+## Intended use
+
+English-language inference in non-thinking mode (`enable_thinking=false`).
+
+## Evaluation
+
+Scores are the equal-weight mean of ten tasks: MMLU-Redux, GPQA-Diamond, MuSR, IFEval,
+IFBench, GSM8K, MATH-500, HumanEval+, MBPP+ and BFCLv3, run in non-thinking mode with
+greedy decoding (GPQA-Diamond averages ten sampled runs). Harness: EvalScope 1.4.2 and
+bfcl-eval 2025.10.27.1. See the [blog](https://precisionnumerics.ai/blog/boole-1p7b) for the comparison.
+
+<details>
+<summary>Full evaluation settings</summary>
+
+We use the same evaluation settings as [PrismML's Bonsai](https://prismml.com/news/bonsai-8b). The settings below cover 10 generative benchmarks.
+
+| Setting | Value |
+| --- | --- |
+| Few-shot examples | 0 |
+| Generative prompts | Benchmark prompts with the checkpoint's chat template |
+| Thinking mode | Disabled (`enable_thinking=false`) |
+| Default generation | Greedy: temperature 0, top-p 1 |
+| Default seed / repetitions | Seed 42; one response per example |
+| Additional sampling filters | Top-k and min-p disabled; repetition penalty 1.0 |
+| Dataset limit | Full benchmark splits; no sample limit |
+
+GPQA-Diamond uses temperature **0.6**, top-p **0.95**, and **10 repetitions per
+example** with seeds **42–51**. Its score is averaged across those repetitions.
+
+Maximum generated tokens per response:
+
+| Benchmark | Max new tokens |
+| --- | --- |
+| MMLU-Redux | 2,048 |
+| GPQA-Diamond | 8,192 |
+| MuSR | 2,048 |
+| IFEval | 4,096 |
+| IFBench | 4,096 |
+| GSM8K | 2,048 |
+| MATH-500 | 8,192 |
+| HumanEval+ | 8,192 |
+| MBPP+ | 4,096 |
+| BFCL-v3 | 4,096 |
+
+Generation context is 16,384 tokens by default and 40,960 for BFCL-v3, capped
+when a checkpoint specifies a lower limit. Concurrency and memory allocation
+are tuned to the runtime and available GPU memory.
+
+IFEval and IFBench report the mean of strict prompt-level and instruction-level
+accuracy. HumanEval+ and MBPP+ use augmented tests and pass@1. BFCL-v3 reports the
+macro average of 13 single-turn subsets, with `is_fc_model=false` and
+`underscore_to_dot=false`. GSM8K and MATH-500 use a 10-second per-answer scoring
+deadline; timed-out answers receive zero.
+
+Evaluation packages: **EvalScope 1.4.2** and **bfcl-eval 2025.10.27.1**.
+
+</details>
+
+## License
+
+Weights and runtime code use [Apache 2.0](https://huggingface.co/precision-numerics/Boole-1.7B/blob/main/LICENSE).
+[NOTICE](https://huggingface.co/precision-numerics/Boole-1.7B/blob/main/NOTICE) includes upstream Qwen attribution.
+
+## Citation
+
+```bibtex
+@misc{precisionnumerics2026boole1p7b,
+  author = {{Precision Numerics}},
+  title = {{Boole}-1.7B},
+  year = {2026},
+  month = {October},
+  url = {https://huggingface.co/precision-numerics/Boole-1.7B}
+}
+```

config.json

@@ -0,0 +1,30 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,13 @@
+{
+    "bos_token_id": 151643,
+    "do_sample": true,
+    "eos_token_id": [
+        151645,
+        151643
+    ],
+    "pad_token_id": 151643,
+    "temperature": 0.6,
+    "top_k": 20,
+    "top_p": 0.95,
+    "transformers_version": "4.51.0"
+}

tokenizer.json

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+size 11422654

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n                {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}