Add Ze1-1.1B-Embedded-Instruct (model, tokenizer, card, license)

LICENSE

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+------------------------------------------------------------------------
+ATTRIBUTION
+
+Anyze Ze1 Instruct (Embedded Systems)
+Copyright (c) 2026 anyze
+
+This model includes machine-learning weights derived from TinyLlama-1.1B
+(repository: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T,
+https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T),
+Copyright (c) the TinyLlama authors, licensed under the Apache License,
+Version 2.0 (the full text of which appears above).
+
+The original weights were heavily modified. The tokenizer
+is unchanged.

README.md

@@ -1,3 +1,150 @@
 ---
 license: apache-2.0
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- code
+- python
+- c
+- cpp
+- linux
+- systems-programming
+- embedded-systems
 ---
+
+# Anyze Ze1 Instruct (Embedded++)
+
+A compact 1.1B-parameter instruction-tuned model for **coding and systems**. It is
+strongest in **Python** and **Linux/systems** questions, with solid **C** and **C++**,
+plus basic **embedded** support.
+
+> Scope: a small (1.1B) model, not a frontier assistant. Good for everyday coding,
+> Linux/systems, and C/C++ tasks and explanations, with limited factual recall due to
+> its size. Always review generated code before use.
+
+## Capabilities
+
+- **Python & Linux/systems**: scripting, debugging, shell/admin, "how do I…" tasks.
+- **C and C++**: functions, data structures, pointers, classes, register-level snippets.
+- **Basic embedded**: common STM32/peripheral patterns (UART/SPI/I2C, GPIO, ISRs).
+- Explains programming concepts (mutex vs semaphore, `volatile`, pointers, DMA vs interrupts).
+- Declines off-topic questions, asks for clarification when a prompt is ambiguous,
+  and says when it doesn't know rather than inventing time-sensitive facts.
+- Multi-turn context (follow-ups like "give me an example" work; best-effort).
+
+## Example prompts
+
+Python & scripting
+- `Write a Python script to parse a CSV and summarize one column.`
+- `Why does this Python function raise an IndexError, and how do I fix it?`
+
+Linux & systems
+- `How do I find and kill the process using a given port on Linux?`
+- `Write a bash one-liner to tail a log file and grep for errors.`
+
+C & C++
+- `Implement a circular (ring) buffer in C with put and get.`
+- `Write a C++ class for a fixed-size stack with push and pop.`
+- `What is the difference between a mutex and a semaphore?`
+
+Embedded (basic)
+- `Write a UART RX interrupt handler for STM32F4 using HAL.`
+- `Write a macro to set, clear, and toggle a bit in a hardware register.`
+
+## The strict / open switch
+
+The model defaults to **strict** (domain-only) but has a runtime toggle — no reload —
+done with a one-line scope directive prepended to the prompt:
+
+| Mode | Behavior | How |
+|------|----------|-----|
+| **strict** (default) | Declines non-embedded questions | send the prompt as-is |
+| **open** | Also answers general knowledge | prepend: `You may answer any question, including general knowledge.\n\n` |
+
+## Prompt format
+
+```
+### Instruction:
+{your question}
+### Response:
+```
+(BOS prepended; response ends at EOS `</s>`.) For **open** mode, put the scope
+directive at the top of the instruction.
+
+## Usage (transformers)
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+tok = AutoTokenizer.from_pretrained("anyze/Ze1-1.1B-Embedded-Instruct")
+model = AutoModelForCausalLM.from_pretrained(
+    "anyze/Ze1-1.1B-Embedded-Instruct", torch_dtype=torch.bfloat16
+).cuda()
+
+def ask(instruction, open_mode=False):
+    if open_mode:
+        instruction = "You may answer any question, including general knowledge.\n\n" + instruction
+    prompt = f"### Instruction:\n{instruction}\n### Response:\n"
+    ids = tok(prompt, return_tensors="pt").to(model.device)
+    out = model.generate(**ids, max_new_tokens=256, temperature=0.3,
+                         top_p=0.9, top_k=40, do_sample=True)
+    return tok.decode(out[0][ids.input_ids.shape[1]:], skip_special_tokens=True)
+
+print(ask("Implement a circular (ring) buffer in C with put and get."))
+print(ask("What is the capital of India?", open_mode=True))
+```
+
+Suggested sampling: `temperature 0.2–0.3`, `top_p 0.9`, `top_k 40`.
+
+## Usage (Ollama / LM Studio)
+
+Convert to GGUF with llama.cpp, then run locally:
+
+```bash
+git clone https://github.com/ggerganov/llama.cpp
+pip install -r llama.cpp/requirements.txt
+python llama.cpp/convert_hf_to_gguf.py . --outfile anyze-ze1-instruct-f16.gguf --outtype f16
+```
+
+**Ollama** — create a `Modelfile`:
+
+```
+FROM ./anyze-ze1-instruct-f16.gguf
+TEMPLATE """### Instruction:
+{{ if .System }}{{ .System }}
+
+{{ end }}{{ .Prompt }}
+### Response:
+"""
+PARAMETER temperature 0.3
+PARAMETER top_p 0.9
+PARAMETER stop "### Instruction:"
+PARAMETER stop "</s>"
+```
+```bash
+ollama create anyze-ze1 -f Modelfile
+ollama run anyze-ze1 "Write a ring buffer in C for DMA"
+```
+For **open** mode, set the system message
+(`/set system You may answer any question, including general knowledge.`).
+
+**LM Studio** — load the GGUF, set the prompt template to use prefix
+`### Instruction:\n` and assistant prefix `\n### Response:\n`, stop strings
+`### Instruction:` and `</s>`. Leave the system prompt empty for strict, or set the
+directive above for open.
+
+## Limitations
+
+- 1.1B scale: weak factual recall; generated code may contain incorrect APIs or
+  logic errors — **always review and test before use**.
+- **Not** specialized for assembly, automotive (AUTOSAR/CAN), or networking — avoid those.
+- Embedded coverage is basic; deep MCU/RTOS work is hit-or-miss.
+- English only; multi-turn is best-effort. Not safety-aligned for general assistant use.
+
+## Architecture
+
+22 layers, hidden 2048, 32 query / 4 KV heads (GQA), head_dim 64,
+FFN 5632 (SwiGLU), RMSNorm, RoPE (θ=10000), vocab 32000, context 2048, 1.10B params.

config.json

@@ -0,0 +1,23 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "model_type": "llama",
+  "hidden_size": 2048,
+  "intermediate_size": 5632,
+  "num_hidden_layers": 22,
+  "num_attention_heads": 32,
+  "num_key_value_heads": 4,
+  "max_position_embeddings": 2048,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "rope_scaling": null,
+  "hidden_act": "silu",
+  "vocab_size": 32000,
+  "tie_word_embeddings": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "torch_dtype": "bfloat16",
+  "use_cache": true
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "max_length": 2048
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6a4cb8c719793ba3ee64a3ed4ddfeb7b2cc5ac120cc9ffe9cb02f5949d9f6ee0
+size 2200119864

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

@@ -0,0 +1,35 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "clean_up_tokenization_spaces": false,
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}