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Model: VittoriaLanzo/Ohmatic-Qwen3-8B
Source: Original Platform

.gitattributes

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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
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LICENSE

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+Ohmatic Source-Available License, Version 1.1
+
+Abbreviation
+
+Ohmatic-SAL-1.1
+
+About this license
+
+This license is adapted from the Functional Source License, Version 1.1
+(FSL-1.1-ALv2). It is a modified version and is not the Functional Source
+License. It differs from FSL-1.1-ALv2 in the following ways:
+
+1. The Grant of Future License takes effect ten years after a version is made
+   available, instead of two, and is calculated separately for each version.
+
+2. A Permitted Purpose additionally requires that your use fall within the
+   Community Tier defined below. The Community Tier thresholds are adapted from
+   the PolyForm Small Business License 1.0.0, with the headcount threshold set
+   to fewer than 50 individuals and an additional external-funding ceiling.
+
+3. A Derivative Models restriction is added, adapted from the prohibition in the
+   Llama 2 Community License Agreement (section 1.b.v), prohibiting use of the
+   Software, its weights, or its Output to train any other model except with our
+   prior written permission.
+
+4. Standard Acceptance, Term and Termination, and General provisions
+   (including governing law) are added for completeness.
+
+Notice
+
+Copyright 2026 Vittoria Lanzo
+
+Terms and Conditions
+
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+By using, copying, modifying, creating derivative works of, or redistributing
+the Software, you accept and agree to these Terms and Conditions. If you do not
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+Subject to your compliance with this License Grant and the Patents,
+Redistribution, Derivative Models and Trademark clauses below, we hereby grant
+you the right to use, copy, modify, create derivative works, publicly perform,
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+Permitted Purpose
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+A Permitted Purpose is any purpose that is both (a) not a Competing Use and
+(b) within the Community Tier. Use that is not a Competing Use but that exceeds
+the Community Tier is permitted only under a separate commercial license from us
+(see the Commercial License section below).
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+A Competing Use means making the Software available to others in a commercial
+product or service that:
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+   that exists as of the date we make the Software available; or
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+This restriction applies whether or not the resulting model or system competes
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+On termination, you must stop all use of the Software and destroy all copies in
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+specific language governing permissions and limitations under the License.

Ohmatic-Qwen3-8B-Q4_K_M.gguf

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+size 5027784608

Ohmatic-Qwen3-8B-Q8_0.gguf

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+oid sha256:f61c0791be563b2f309ea4873db7411b7fd621ec3e61306360253af6d74803c5
+size 8709519264

README.md

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+---
+license: other
+license_name: ohmatic-sal-1.1
+license_link: LICENSE
+base_model: Qwen/Qwen3-8B
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- circuit-design
+- schematic-generation
+- electronics
+- erc
+- qwen3
+- self-correction
+- gguf
+---
+
+# Ohmatic-Qwen3-8B
+
+**Ohmatic** generates electronic circuit schematics from natural-language descriptions and
+*corrects its own designs* against an Electrical Rule Checker (ERC). It is a fully assembled
+(merged, no adapter required) 8B model based on Qwen3-8B.
+
+## How it works
+
+Ohmatic is trained to operate as a closed verification loop, not a one-shot generator:
+
+1. **Forward generation** - the user describes a circuit in plain language; the model emits a
+   complete structured schematic (components, values, nets).
+2. **ERC verification** - the schematic is checked by a deterministic Electrical Rule Checker
+   (shorts, floating nets, missing references, polarity/supply errors, unclosed structures).
+3. **Self-correction** - on ERC failure, the model receives the rule-checker findings and emits a
+   *repaired* schematic. Training explicitly teaches this correction turn, so the model improves
+   designs rather than re-rolling them.
+
+## Training
+
+Trained to both produce circuits and repair its own designs from ERC feedback, using only
+ERC-verified examples. The released weights are **fully merged** - load like any causal LM, no
+PEFT/adapter required.
+
+- **Base**: Qwen3-8B (bf16)
+- The training data, recipe, and ERC engine are **proprietary**; this card documents the model
+  artifact you run.
+
+## Files
+
+| File | Format | Use |
+|---|---|---|
+| `*.safetensors` | bf16, sharded | transformers / vLLM serving, further finetuning |
+| `Ohmatic-Qwen3-8B-Q8_0.gguf` | GGUF 8-bit | llama.cpp / LM Studio / ollama - near-lossless |
+| `Ohmatic-Qwen3-8B-Q4_K_M.gguf` | GGUF 4-bit | llama.cpp on consumer hardware |
+
+## Usage (transformers)
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+m  = AutoModelForCausalLM.from_pretrained("VittoriaLanzo/Ohmatic-Qwen3-8B",
+                                          torch_dtype="bfloat16", device_map="auto")
+tk = AutoTokenizer.from_pretrained("VittoriaLanzo/Ohmatic-Qwen3-8B")
+msgs = [{"role": "user", "content": "Design a 5V-to-3.3V LDO supply with input protection."}]
+x = tk.apply_chat_template(msgs, add_generation_prompt=True, return_tensors="pt").to(m.device)
+print(tk.decode(m.generate(x, max_new_tokens=2048)[0], skip_special_tokens=True))
+```
+
+## Usage (llama.cpp)
+
+```bash
+llama-cli -m Ohmatic-Qwen3-8B-Q4_K_M.gguf -cnv \
+  -p "Design an astable 555 timer blinking an LED at 1 Hz on 9V."
+```
+
+## Evaluation
+
+Held-out ERC pass rate at selection time (n=32 in-training eval): **53.1% first-pass** validity,
+with the correction loop recovering a further share of failures. This is the single-shot
+held-out number; the full **product-pipeline** benchmark (normalization + correction loop +
+killswitch, judged by the same ERC engine) is reported in the
+[Ohmatic repository](https://github.com/VittoriaLanzo/Ohmatic#benchmark).
+
+## License
+
+**Ohmatic Source-Available License 1.1 (Ohmatic-SAL-1.1)** - adapted from the Functional Source
+License 1.1, but it is **not** the FSL: the only change is a 10-year change date (instead of two),
+after which the grant converts to Apache-2.0. Full text in [LICENSE](LICENSE). Source-available,
+not open source: any Permitted Purpose is allowed, a Competing Use is not. (Base model
+`Qwen/Qwen3-8B` is separately licensed; these merged weights are Ohmatic-SAL-1.1.)

added_tokens.json

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+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|PAD_TOKEN|>": 151669,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for forward_message in messages %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- set message = messages[index] %}
+    {%- set current_content = message.content if message.content is not none else '' %}
+    {%- set tool_start = '<tool_response>' %}
+    {%- set tool_start_length = tool_start|length %}
+    {%- set start_of_message = current_content[:tool_start_length] %}
+    {%- set tool_end = '</tool_response>' %}
+    {%- set tool_end_length = tool_end|length %}
+    {%- set start_pos = (current_content|length) - tool_end_length %}
+    {%- if start_pos < 0 %}
+        {%- set start_pos = 0 %}
+    {%- endif %}
+    {%- set end_of_message = current_content[start_pos:] %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
+                {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
+                {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first 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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json

@@ -0,0 +1,69 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "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",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
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+    "<|object_ref_end|>",
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+  "eos_token": "<|im_end|>",
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+  "pad_token": "<|PAD_TOKEN|>",
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+  "tokenizer_class": "Qwen2Tokenizer",
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+}