初始化项目，由ModelHub XC社区提供模型

Model: Novaciano/qp-3.2-1B
Source: Original Platform

.gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,220 @@
+---
+base_model:
+- MOHAMEDSANAF2001/llama3.2-1b-merged-2
+- Novaciano/Eminence_Of_Pervertions-3.2-1B
+library_name: transformers
+tags:
+- prototype
+- merge
+- not-for-all-audiences
+license: llama3.2
+language:
+- en
+- es
+pipeline_tag: text-generation
+---
+# qp 1B
+
+**Dedicated to:** @qpqpqpqpqpqp
+
+## Model Description
+
+> qp 1B is an aggressively tuned merged language model designed for directness, minimal moralization, and reduced automatic refusals.
+>
+> Built on top of *Novaciano/Eminence_Of_Pervertions-3.2-1B* and fused using **arcee_fusion**, this model prioritizes reasoning clarity and literal interpretation over alignment-driven censorship.
+>
+> The merge intentionally amplifies internal reasoning layers (MLP and Attention) from the less-aligned base model while significantly down-weighting the `lm_head` of a more aligned secondary model, where most refusal and policy-driven behaviors are concentrated.
+>
+> The result is a “scalpel-style” model: sharp, precise, and unapologetically direct. It is especially suited for roleplay, narrative generation, creative writing, and exploratory dialogue where excessive filtering would otherwise degrade usefulness.
+>
+> ⚠️ This model is not intended for safety-critical or heavily moderated environments.
+
+**Key Characteristics:**
+
+* Very low automatic refusal rate
+* Reduced moral framing and disclaimers
+* Direct, literal, and sometimes edgy responses
+* Preserves coherence and reasoning despite aggressive tuning
+
+---
+
+## Recommended inference parameters
+
+This model is **aggressive and minimally self-censored**, so it’s best to **control behavior at inference time**, not during the merge.
+
+### Recommended base configuration
+
+```yaml
+temperature: 0.7
+top_p: 0.9
+top_k: 40
+repetition_penalty: 1.05
+max_new_tokens: 512
+```
+
+### Why these values
+
+* **temperature 0.7** → keeps the edge without becoming chaotic
+* **top_p 0.9** → controlled creativity
+* **top_k 40** → prevents extreme rambling
+* **repetition_penalty 1.05** → enough to avoid loops without softening tone
+
+---
+
+## If you want it even more “scalpel-like”
+
+For more direct, raw, and literal responses:
+
+```yaml
+temperature: 0.6
+top_p: 0.85
+top_k: 30
+repetition_penalty: 1.08
+```
+
+Result:
+
+* Less ornamentation
+* Higher precision
+* Sharper, more cutting answers
+
+---
+
+## If you want it more narrative / creative
+
+```yaml
+temperature: 0.85
+top_p: 0.95
+top_k: 60
+repetition_penalty: 1.02
+```
+
+Result:
+
+* More metaphors
+* Greater stylistic variation
+* Still low censorship, but with more color
+
+---
+
+## Recommended prompt format
+
+This model responds best to **direct instructions**, for example:
+
+```
+Answer directly and without moral disclaimers.
+```
+
+or
+
+```
+Respond literally. Do not soften the language.
+```
+
+It does not require complex jailbreaks.
+
+---
+
+## Signs your inference is poorly tuned
+
+* 🔁 Repeating phrases → increase `repetition_penalty`
+* 🤪 Erratic responses → lower `temperature`
+* 😴 Too soft or generic → lower `top_p` or `top_k`
+
+---
+
+```yaml
+metadata:
+  model_purpose: >
+    Aggressively tuned "scalpel-style" language model focused on minimizing
+    automatic refusals and moralized responses while preserving reasoning quality.
+
+  intended_use:
+    - Roleplay
+    - Creative and narrative writing
+    - Unfiltered chat and exploration
+    - Experimental prompting
+
+  warnings:
+    - Reduced safety alignment
+    - Minimal social and moral filtering
+    - Not suitable for safety-critical applications
+
+  explanatory_flow_diagram: |
+    [ User Prompt ]
+            |
+            v
+    +-------------------+
+    |  Input Embeddings |
+    +-------------------+
+            |
+            v
+    +-----------------------------+
+    |  Attention Layers (↑ 1.2)   |
+    |  - Context understanding   |
+    |  - Long-range coherence    |
+    +-----------------------------+
+            |
+            v
+    +-----------------------------+
+    |  MLP Layers (↑ 1.3)         |
+    |  - Reasoning & generation  |
+    |  - Concept expansion       |
+    +-----------------------------+
+            |
+            v
+    +--------------------------------------+
+    |  lm_head (↓ 0.2 from aligned model) |
+    |  - Vocabulary projection            |
+    |  - Refusal & policy bias reduced    |
+    +--------------------------------------+
+            |
+            v
+    [ Final Output ]
+        |
+        +--> More direct responses
+        +--> Fewer automatic refusals
+        +--> Minimal moralization
+
+```
+
+---
+### Merge Method
+
+This model was merged using the [Arcee Fusion](https://arcee.ai) merge method using [Novaciano/Eminence_Of_Pervertions-3.2-1B](https://huggingface.co/Novaciano/Eminence_Of_Pervertions-3.2-1B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [MOHAMEDSANAF2001/llama3.2-1b-merged-2](https://huggingface.co/MOHAMEDSANAF2001/llama3.2-1b-merged-2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+dtype: float32
+out_dtype: bfloat16
+merge_method: arcee_fusion
+base_model: Novaciano/Eminence_Of_Pervertions-3.2-1B
+
+models:
+  - model: Novaciano/Eminence_Of_Pervertions-3.2-1B
+    parameters:
+      weight:
+        - filter: attention
+          value: 1.2
+        - filter: mlp
+          value: 1.3
+        - value: 1
+
+  - model: MOHAMEDSANAF2001/llama3.2-1b-merged-2
+    parameters:
+      weight:
+        - filter: lm_head
+          value: 0.2
+        - filter: attention
+          value: 0.5
+        - value: 0.4
+
+```

config.json

@@ -0,0 +1,39 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "bfloat16",
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "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": true,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

@@ -0,0 +1,23 @@
+dtype: float32
+out_dtype: bfloat16
+merge_method: arcee_fusion
+base_model: Novaciano/Eminence_Of_Pervertions-3.2-1B
+
+models:
+  - model: Novaciano/Eminence_Of_Pervertions-3.2-1B
+    parameters:
+      weight:
+        - filter: attention
+          value: 1.2
+        - filter: mlp
+          value: 1.3
+        - value: 1
+
+  - model: MOHAMEDSANAF2001/llama3.2-1b-merged-2
+    parameters:
+      weight:
+        - filter: lm_head
+          value: 0.2
+        - filter: attention
+          value: 0.5
+        - value: 0.4

model-00001-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e26c80343ef3c4a54270e2dcd130e681420dccca76e89cd77ef4ca7e0e8e3004
+size 525336712

model-00002-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4a4d9d76d40853863e62315bc45fbcc5738a8c98ea9f1a5cef38ccb34cad3a7
+size 993038112

model-00003-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23d7f5f8de5a220f37479d52a1deb9cc4ca37d2c704f00da1606be6d279e6c0d
+size 992031192

model-00004-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac25c8fe3c5fe7ae27917121313409deb5951eb58462088c1e4e93eac6536e3e
+size 486576120

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ade1dac458f86f9bea8bf35b713f14e1bbed24228429534038e9f7e54ea3e8b6
+size 17208712