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Model: karwalski/toke
Source: Original Platform

.gitattributes

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README.md

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+---
+language:
+  - en
+license: apache-2.0
+library_name: transformers
+tags:
+  - toke
+  - code-generation
+  - programming-language
+  - qwen2
+  - qlora
+  - fine-tuned
+  - awq
+  - 4bit
+base_model: Qwen/Qwen2.5-Coder-7B-Instruct
+pipeline_tag: text-generation
+model-index:
+  - name: toke-7b-gate2
+    results:
+      - task:
+          type: text-generation
+          name: Code Generation
+        metrics:
+          - name: Compilation Pass@1
+            type: pass@1
+            value: 100
+            verified: true
+          - name: Functional Pass@1
+            type: pass@1
+            value: 8
+            verified: true
+---
+
+# toke-7b-gate2
+
+A 7B parameter language model fine-tuned to generate code in **toke**, a programming language designed to reduce token cost of AI-generated code. This model writes syntactically valid toke **100% of the time**.
+
+## Model Details
+
+| Property | Value |
+|---|---|
+| **Base model** | [Qwen 2.5 Coder 7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) |
+| **Method** | QLoRA (rank 64, alpha 128, 3 epochs) |
+| **Training data** | 25,953 records — 18,890 synthetic + 6,069 from [loke](https://github.com/karwalski/loke) production (87K lines) |
+| **Training time** | 37 hours on NVIDIA A10G (24 GB) |
+| **Weights** | AWQ 4-bit quantized (this repo) |
+| **Context length** | 32,768 tokens |
+| **License** | Apache 2.0 |
+
+
+## What is toke?
+
+toke is a statically typed, compiled language with a **55-character alphabet** (lowercase a-z, digits 0-9, and 19 symbols). It compiles to native binaries via LLVM. A purpose-built BPE tokenizer achieves **52% fewer tokens** on average vs cl100k_base.
+
+- **13 keywords:** `m` `f` `t` `i` `if` `el` `lp` `br` `let` `mut` `as` `rt` `mt`
+- **No comments** in source — documentation lives in companion files (.tkc.md)
+- **Errors as values** — no exceptions, result types with `mt` (match)
+- **Website:** [tokelang.dev](https://tokelang.dev) | **Console:** [console.tokelang.dev](https://console.tokelang.dev)
+
+## Gate 2 Results (May 2026)
+
+| Metric | Gate 1 | Gate 2 |
+|---|---|---|
+| Compilation Pass@1 | 63.7% | **100%** |
+| Tasks evaluated | 1,000 | 700 |
+| Functional Pass@1 | — | ~8% |
+| Training records | 73,000 | 25,953 |
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("karwalski/toke", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("karwalski/toke")
+
+prompt = """<|im_start|>system
+Write toke programs. m=mod; f=name(p:type):ret{body}; let x=42; <expr return. Semicolons everywhere. Start with m=.
+<|im_end|>
+<|im_start|>user
+Write a hello world program
+<|im_end|>
+<|im_start|>assistant
+"""
+
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=256, temperature=0.2, do_sample=True)
+print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
+# m=hello;i=io:std.io;f=main():i64{io.println("hello world");<0};
+```
+
+## API Access
+
+Free API access via [console.tokelang.dev](https://console.tokelang.dev) — no credit card required.
+
+```bash
+curl -X POST https://api.tokelang.dev/v1/generate \
+  -H "X-Api-Key: YOUR_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{"description": "Return the absolute value of an integer"}'
+```
+
+## Links
+
+- [tokelang.dev](https://tokelang.dev) — Project website
+- [console.tokelang.dev](https://console.tokelang.dev) — Free API access
+- [GitHub: toke](https://github.com/karwalski/toke) — Compiler, spec, stdlib
+- [GitHub: loke](https://github.com/karwalski/loke) — 87K lines of production toke
+- [Live tokenizer](https://tokelang.dev/tokenizer) — Compare token counts in-browser

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "float16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "pad_token_id": null,
+  "quantization_config": {
+    "bits": 4,
+    "group_size": 128,
+    "modules_to_not_convert": null,
+    "quant_method": "awq",
+    "version": "gemm",
+    "zero_point": true
+  },
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.4.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.4.0"
+}

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