commit d99cf807083a93e8c323154b5125b5cc911abde1
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Sun May 31 20:19:12 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: AI-ModelScope/Hypnos-i1-8B
    Source: Original Platform

diff --git a/.eval_results/arc_challenge.yaml b/.eval_results/arc_challenge.yaml
new file mode 100644
index 0000000..79887e5
--- /dev/null
+++ b/.eval_results/arc_challenge.yaml
@@ -0,0 +1,7 @@
+- dataset:
+    id: allenai/ai2_arc
+    task_id: arc_challenge
+  value: 63.1
+  source:
+    url: https://huggingface.co/squ11z1/Hypnos-i1-8B
+    name: Model Card
diff --git a/.eval_results/bbh.yaml b/.eval_results/bbh.yaml
new file mode 100644
index 0000000..2cdb540
--- /dev/null
+++ b/.eval_results/bbh.yaml
@@ -0,0 +1,7 @@
+- dataset:
+    id: lukaemon/bbh
+    task_id: bbh
+  value: 72.4
+  source:
+    url: https://huggingface.co/squ11z1/Hypnos-i1-8B
+    name: Model Card
diff --git a/.eval_results/gpqa.yaml b/.eval_results/gpqa.yaml
new file mode 100644
index 0000000..3599e74
--- /dev/null
+++ b/.eval_results/gpqa.yaml
@@ -0,0 +1,7 @@
+- dataset:
+    id: Idavidrein/gpqa
+    task_id: diamond
+  value: 36.5
+  source:
+    url: https://huggingface.co/squ11z1/Hypnos-i1-8B
+    name: Model Card
diff --git a/.eval_results/gsm8k.yaml b/.eval_results/gsm8k.yaml
new file mode 100644
index 0000000..e927aeb
--- /dev/null
+++ b/.eval_results/gsm8k.yaml
@@ -0,0 +1,7 @@
+- dataset:
+    id: openai/gsm8k
+    task_id: gsm8k
+  value: 89.2
+  source:
+    url: https://huggingface.co/squ11z1/Hypnos-i1-8B
+    name: Model Card
diff --git a/.eval_results/humaneval.yaml b/.eval_results/humaneval.yaml
new file mode 100644
index 0000000..8ddbee2
--- /dev/null
+++ b/.eval_results/humaneval.yaml
@@ -0,0 +1,7 @@
+- dataset:
+    id: openai/openai_humaneval
+    task_id: humaneval
+  value: 76.8
+  source:
+    url: https://huggingface.co/squ11z1/Hypnos-i1-8B
+    name: Model Card
diff --git a/.eval_results/ifeval.yaml b/.eval_results/ifeval.yaml
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index 0000000..ae47642
--- /dev/null
+++ b/.eval_results/ifeval.yaml
@@ -0,0 +1,7 @@
+- dataset:
+    id: google/IFEval
+    task_id: ifeval
+  value: 86.0
+  source:
+    url: https://huggingface.co/squ11z1/Hypnos-i1-8B
+    name: Model Card
diff --git a/.eval_results/math.yaml b/.eval_results/math.yaml
new file mode 100644
index 0000000..a1a2616
--- /dev/null
+++ b/.eval_results/math.yaml
@@ -0,0 +1,7 @@
+- dataset:
+    id: hendrycks/competition_math
+    task_id: math
+  value: 64.5
+  source:
+    url: https://huggingface.co/squ11z1/Hypnos-i1-8B
+    name: Model Card
diff --git a/.gitattributes b/.gitattributes
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--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,55 @@
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diff --git a/README.md b/README.md
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+++ b/README.md
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+---
+base_model: NousResearch/Hermes-3-Llama-3.1-8B
+datasets:
+- open-thoughts/OpenThoughts-114k
+- KingNish/reasoning-base-20k
+- nvidia/OpenMathReasoning
+- amphora/QwQ-LongCoT-130K
+- openai/gsm8k
+language:
+- en
+library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- reasoning
+- mathematics
+- logic
+- chain-of-thought
+- quantum
+- physics
+- llama-3
+- gguf
+- text-generation-inference
+- chatml
+- roleplaying
+- conversational
+- synthetic data
+- arxiv:2408.11857
+---
+
+*(New release: try my latest quantum cutting-edge model — [Hypnos-Q1](https://huggingface.co/squ11z1/Hypnos-Q1))*
+
+# Hypnos i1-8B (Quantum-Informed Reasoning Model)
+
+<div align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/4FLhrQnRrN4HtQzD9OF9U.jpeg" width="80%" alt="Hypnos Header Image"/>
+</div>
+
+<br>
+
+## 🌌 Model Overview
+
+**Hypnos i1 8B** is a specialized reasoning model based on **Nous Hermes 3 (Llama 3.1 8B)**, designed to excel in complex logic, chain-of-thought (CoT) reasoning, and mathematical problem-solving.
+
+It represents a unique experiment in **Hybrid Quantum-Classical Machine Learning**. Unlike standard fine-tunes, Hypnos i1 was trained on a dataset enriched with real entropy data generated by **IBM Quantum Heron processors** (133/156-qubit architecture). This "Quantum Noise Injection" serves as a stochastic regularizer, aiming to improve the model's creativity and break deterministic patterns in generation.
+
+### ⚡ Key Features
+
+* **S-Tier Reasoning:** Outperforms standard 8B models in logic and math, rivaling 70B class models in specific, narrow tasks (e.g., multi-step logic puzzles, causal inference).
+* **Quantum-Informed:** The first known LLM fine-tuned on raw measurement data from 100+ qubit GHZ states generated on IBM's latest quantum hardware.
+* **Uncensored & Compliant:** Built on the robust Nous Hermes 3 base, it follows instructions without refusal or moralizing lectures, while maintaining safety for general use.
+* **Deep Thinker:** Optimized for long-context reasoning (4096+ tokens). It tends to "think out loud" before answering, ensuring higher accuracy on complex queries.
+
+---
+
+<div align="center">
+  <h3>📊 Performance Benchmarks</h3>
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/RJGLLcIf-HFTUdsUYnVys.jpeg" width="80%" alt="Hypnos Benchmarks vs Llama 3.1 Base"/>
+</div>
+
+<br>
+
+## 🧬 The Hypnos Family
+
+| Model | Parameters | Quantum Sources | Best For | Status |
+|-------|------------|-----------------|----------|--------|
+| **Hypnos-Colossus-1T** | **1T (MoE)** | **3 (IBM + IQM + Cosmic)** | **Deep Simulation, Grand Challenges** | 🌌 **Flagship** |
+| **Hypnos-i2-32B** | 32B | 3 (Matter + Light + Nucleus) | Production, Research | ✅ Stable |
+| **Hypnos-i1-8B** | 8B | 1 (Matter only) | Edge, Experiments | ✅ 10k+ Downloads |
+
+**Which one to choose?**
+* **Colossus 1T:** For when you need maximum reasoning depth.
+* **i2-32B:** The "Giant Killer" - best balance of logic and efficiency for consumer GPUs.
+* **i1-8B:** Perfect for laptops and rapid prototyping.
+
+## ⚛️ The Quantum Experiment (Training Methodology)
+
+Hypnos i1 introduces a novel concept: **Data-Driven Stochastic Regularization via Quantum Entropy**.
+
+During the Supervised Fine-Tuning (SFT) stage, the model was exposed to raw bitstring measurements from entangled quantum states (GHZ). These patterns contain true quantum randomness and specific hardware noise that cannot be simulated algorithmically.
+
+### Hardware Used for Data Generation:
+
+* **IBM Quantum Heron r2 (`ibm_fez`):** 156 Qubits
+* **IBM Quantum Heron r1 (`ibm_torino`):** 133 Qubits
+
+### Verified Quantum Job IDs (IBM Quantum Platform):
+
+* `d4gcir92bisc73a3d29g` (Torino - High Entropy Run)
+* `d4gcoqscdebc73f10g3g` (Fez - Domain Wall Phenomena)
+* `d4go61olslhc73d0u1ig` (Fez - Baseline)
+
+**Theoretical Impact:** This injection of "Out-of-Distribution" quantum data forces the model's attention mechanism to adapt to non-linguistic, high-entropy patterns. In practice, this results in a model that is less prone to "mode collapse" (repetitive loops) and exhibits a unique "temperature" in creative writing tasks.
+
+<br>
+
+<div align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/f7K5oDyo9dX7t72IlcKqb.jpeg" width="40%" alt="Hypnos Footer Image"/>
+</div>
\ No newline at end of file
diff --git a/additional_chat_templates/tool_use.jinja b/additional_chat_templates/tool_use.jinja
new file mode 100644
index 0000000..149250b
--- /dev/null
+++ b/additional_chat_templates/tool_use.jinja
@@ -0,0 +1,152 @@
+{%- macro json_to_python_type(json_spec) %}
+{%- set basic_type_map = {
+    "string": "str",
+    "number": "float",
+    "integer": "int",
+    "boolean": "bool"
+} %}
+
+{%- if basic_type_map[json_spec.type] is defined %}
+    {{- basic_type_map[json_spec.type] }}
+{%- elif json_spec.type == "array" %}
+    {{- "list[" +  json_to_python_type(json_spec|items) + "]"}}
+{%- elif json_spec.type == "object" %}
+    {%- if json_spec.additionalProperties is defined %}
+        {{- "dict[str, " + json_to_python_type(json_spec.additionalProperties) + ']'}}
+    {%- else %}
+        {{- "dict" }}
+    {%- endif %}
+{%- elif json_spec.type is iterable %}
+    {{- "Union[" }}
+    {%- for t in json_spec.type %}
+      {{- json_to_python_type({"type": t}) }}
+      {%- if not loop.last %}
+        {{- "," }} 
+    {%- endif %}
+    {%- endfor %}
+    {{- "]" }}
+{%- else %}
+    {{- "Any" }}
+{%- endif %}
+{%- endmacro %}
+
+
+{{- bos_token }}
+{{- '<|im_start|>system
+' }}
+{{- "You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> " }}
+{%- for tool in tools %}
+    {%- if tool.function is defined %}
+        {%- set tool = tool.function %}
+    {%- endif %}
+    {{- '{"type": "function", "function": ' }}
+    {{- '{"name": "' + tool.name + '", ' }}
+    {{- '"description": "' + tool.name + '(' }}
+    {%- for param_name, param_fields in tool.parameters.properties|items %}
+        {{- param_name + ": " + json_to_python_type(param_fields) }}
+        {%- if not loop.last %}
+            {{- ", " }}
+        {%- endif %}
+    {%- endfor %}
+    {{- ")" }}
+    {%- if tool.return is defined %}
+        {{- " -> " + json_to_python_type(tool.return) }}
+    {%- endif %}
+    {{- " - " + tool.description + "
+
+" }}
+    {%- for param_name, param_fields in tool.parameters.properties|items %}
+        {%- if loop.first %}
+            {{- "    Args:
+" }}
+        {%- endif %}
+        {{- "        " + param_name + "(" + json_to_python_type(param_fields) + "): " + param_fields.description|trim }}
+    {%- endfor %}
+    {%- if tool.return is defined and tool.return.description is defined %}
+        {{- "
+    Returns:
+        " + tool.return.description }}
+    {%- endif %}
+    {{- '"' }}
+    {{- ', "parameters": ' }}
+    {%- if tool.parameters.properties | length == 0 %}
+        {{- "{}" }}
+    {%- else %}
+        {{- tool.parameters|tojson }}
+    {%- endif %}
+    {{- "}" }}
+    {%- if not loop.last %}
+        {{- "
+" }}
+    {%- endif %}
+{%- endfor %}
+{{- " </tools>" }}
+{{- 'Use the following pydantic model json schema for each tool call you will make: {"properties": {"name": {"title": "Name", "type": "string"}, "arguments": {"title": "Arguments", "type": "object"}}, "required": ["name", "arguments"], "title": "FunctionCall", "type": "object"}}
+' }}
+{{- "For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
+" }}
+{{- "<tool_call>
+" }}
+{{- '{"name": <function-name>, "arguments": <args-dict>}
+' }}
+{{- '</tool_call><|im_end|>
+' }}
+{%- for message in messages %}
+    {%- if message.role == "user" or message.role == "system" or (message.role == "assistant" and message.tool_calls is not defined) %}
+        {{- '<|im_start|>' + message.role + '
+' + message.content + '<|im_end|>' + '
+' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+    {%- for tool_call in message.tool_calls %}
+       {{- '
+<tool_call>
+' }}           {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '{' }}
+            {{- '"name": "' }}
+            {{- tool_call.name }}
+            {{- '"' }}
+            {{- ', '}}
+            {%- if tool_call.arguments is defined %}
+                {{- '"arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments|tojson }}
+                {%- endif %}
+            {%- endif %}
+             {{- '}' }}
+            {{- '
+</tool_call>' }}
+    {%- endfor %}
+        {{- '<|im_end|>
+' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>tool
+' }}
+        {%- endif %}
+        {{- '<tool_response>
+' }}
+        {{- message.content }}
+        {%- if not loop.last %}
+            {{- '
+</tool_response>
+' }}
+        {%- else %}
+            {{- '
+</tool_response>' }}
+        {%- endif %}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant
+' }}
+{%- endif %}
diff --git a/chat_template.jinja b/chat_template.jinja
new file mode 100644
index 0000000..744756d
--- /dev/null
+++ b/chat_template.jinja
@@ -0,0 +1,6 @@
+{{bos_token}}{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
+You are a helpful assistant.<|im_end|>
+' }}{% endif %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}
\ No newline at end of file
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..5817ccd
--- /dev/null
+++ b/config.json
@@ -0,0 +1,35 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "float16",
+  "eos_token_id": 128040,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}
diff --git a/configuration.json b/configuration.json
new file mode 100644
index 0000000..bbeeda1
--- /dev/null
+++ b/configuration.json
@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
\ No newline at end of file
diff --git a/generation_config.json b/generation_config.json
new file mode 100644
index 0000000..2e752c1
--- /dev/null
+++ b/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128040,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.57.1"
+}
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