Duplicate from Jackrong/Qwopus3.5-4B-v3
Browse filesCo-authored-by: Jackrong <Jackrong@users.noreply.huggingface.co>
- .gitattributes +36 -0
- README.md +234 -0
- chat_template.jinja +88 -0
- config.json +114 -0
- model.safetensors-00001-of-00002.safetensors +3 -0
- model.safetensors-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +745 -0
- processor_config.json +63 -0
- tokenizer.json +3 -0
- tokenizer_config.json +34 -0
.gitattributes
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,234 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
- zh
|
| 5 |
+
- ko
|
| 6 |
+
license: apache-2.0
|
| 7 |
+
base_model: unsloth/Qwen3.5-4B
|
| 8 |
+
tags:
|
| 9 |
+
- unsloth
|
| 10 |
+
- qwen
|
| 11 |
+
- qwen3.5
|
| 12 |
+
- reasoning
|
| 13 |
+
- chain-of-thought
|
| 14 |
+
- lora
|
| 15 |
+
- competitive-programming
|
| 16 |
+
pipeline_tag: image-text-to-text
|
| 17 |
+
---
|
| 18 |
+
|
| 19 |
+
# 🌟 Qwopus3.5-4B-v3
|
| 20 |
+
|
| 21 |
+
🔥 **Update (April 5):** I’ve released the complete training notebook, codebase, and a comprehensive PDF guide to help beginners and enthusiasts understand and reproduce this model's fine-tuning process.
|
| 22 |
+
|
| 23 |
+
> ❤️ Special thanks to the [**Unsloth**](https://unsloth.ai) open-source library and [@KyleHessling1](https://x.com/kylehessling1) for their support.
|
| 24 |
+
|
| 25 |
+
## 📚 Resources & Guides
|
| 26 |
+
|
| 27 |
+
👉 **[GitHub Repository: Jackrong-llm-finetuning-guide](https://github.com/R6410418/Jackrong-llm-finetuning-guide.git)**
|
| 28 |
+
Visit the repo to dive into the codebase and reproduce the results locally or on Colab.
|
| 29 |
+
|
| 30 |
+
### 📥 Core Technical Document
|
| 31 |
+
**🔗 [Qwopus3.5-27b Complete Fine-Tuning Guide (PDF)](https://github.com/R6410418/Jackrong-llm-finetuning-guide/blob/main/guidePDF/Qwopus3-5-27b-Colab_complete_guide_to_llm_finetuning.pdf)**
|
| 32 |
+
* **The Full Pipeline:** A step-by-step walkthrough—from downloading the base model and unifying heterogeneous data, to configuring trainer hyperparameters and publishing to Hugging Face.
|
| 33 |
+
* **Beginner Friendly:** Includes an introductory guide to getting started with Google Colab and Unsloth.
|
| 34 |
+
* *Feedback welcome! If you spot any areas for improvement, please let me know and I will update it promptly.*
|
| 35 |
+
|
| 36 |
+
> **A Note:**
|
| 37 |
+
> My goal isn't just to detail a workflow, but to demystify LLM training. Beyond the social media hype, fine-tuning isn't an unattainable ritual—often, all you need is a Google account, a standard laptop, and relentless curiosity.
|
| 38 |
+
>
|
| 39 |
+
> *No one starts as an expert, but every expert was once brave enough to begin.*
|
| 40 |
+
>
|
| 41 |
+
> All training and testing for this project were self-funded. If you find this model or guide helpful, a **Star ⭐️ on GitHub** would be the greatest encouragement. Thank you! 🙏
|
| 42 |
+
|
| 43 |
+
> [!Note]
|
| 44 |
+
> The Claude series model optimizations are named under the **Qwopus3.5 series**, with the latest version being **🌟Qwopus3.5-v3**.
|
| 45 |
+
|
| 46 |
+
---
|
| 47 |
+
|
| 48 |
+
## 🎯 Motivation
|
| 49 |
+
|
| 50 |
+
Recent advances in language agents have predominantly focused on improving reasoning accuracy through Chain-of-Thought (CoT) and self-reflection mechanisms, encouraging models to iteratively refine their reasoning before taking actions.
|
| 51 |
+
|
| 52 |
+
However, emerging evidence suggests that such **"pre-action overthinking"** is not always optimal for sequential decision-making. Instead, agent performance can be more effectively improved through a **trial-and-error paradigm**, where actions are executed early and refined based on environmental feedback.
|
| 53 |
+
|
| 54 |
+
### 🔬 Supporting Evidence
|
| 55 |
+
|
| 56 |
+
- **Reflexion**[^1] demonstrates that agents can significantly improve decision-making by leveraging trial, error, and self-reflection — shifting the role of reflection from *pre-action deliberation* to **post-action correction**, enabling agents to learn from concrete execution outcomes rather than speculative reasoning.
|
| 57 |
+
|
| 58 |
+
- **Post-failure reflection + retry**[^2] substantially boosts performance:
|
| 59 |
+
- 📈 **+34.7%** on mathematical reasoning tasks
|
| 60 |
+
- 📈 **+18.1%** on function calling tasks
|
| 61 |
+
|
| 62 |
+
This provides strong empirical evidence that **reflection is most effective when grounded in execution outcomes**, rather than purely internal reasoning.
|
| 63 |
+
|
| 64 |
+
### 🧭 My Approach
|
| 65 |
+
|
| 66 |
+
For multi-step and tool-augmented agent systems, performance should not be optimized solely through deeper pre-execution reasoning. A more effective strategy is an **execution-driven optimization loop** — where agents perform lightweight initial reasoning, act in the environment, and iteratively refine their behavior based on feedback signals.
|
| 67 |
+
|
| 68 |
+
> **Paradigm Shift:** from **"reason-then-act"** → **"act-then-refine"**
|
| 69 |
+
>
|
| 70 |
+
> The objective is not to achieve optimal reasoning in a single pass, but to enable robust task completion through iterative interaction and correction.
|
| 71 |
+
|
| 72 |
+
---
|
| 73 |
+
|
| 74 |
+
|
| 75 |
+
## 💡 Model Introduction
|
| 76 |
+
|
| 77 |
+
**Qwopus3.5-4B-v3** is a reasoning-enhanced model based on **Qwen3.5-4B**, designed to simultaneously improve reasoning stability and correctness while optimizing inference efficiency — ultimately achieving stronger cross-task generalization capabilities, particularly in programming.
|
| 78 |
+
|
| 79 |
+
**Key Highlights:**
|
| 80 |
+
- 🧩 **Structural Reasoning Optimization** — Refines the fundamental structure of the reasoning process through high-quality reasoning distillation and structural alignment, enabling higher accuracy rates via shorter, more stable reasoning paths.
|
| 81 |
+
- 🔧 **Tool-Calling Reinforcement** — Incorporates specialized RL training for tool-calling, optimized for tool-augmented agent frameworks like **OpenClaw**, strengthening stability in continuous task execution and proficiency in tool invocation.
|
| 82 |
+
- 🔁 **Act-Then-Refine Paradigm** — Designed for complex, multi-step agentic workflows, aligning with the core motivation of replacing pre-action deliberation with execution-driven refinement.
|
| 83 |
+
|
| 84 |
+
---
|
| 85 |
+
## 🔗 Chain-of-Thought Optimization
|
| 86 |
+
|
| 87 |
+
### 🚧 The Problem with v2 Distillation
|
| 88 |
+
|
| 89 |
+
The v2 model was primarily trained through SFT on CoT data distilled from strong teacher models such as Claude. While this can transfer high‑quality reasoning patterns, CoT traces from third‑party datasets do not always faithfully reflect a model’s true internal reasoning process — and after analysis, I found some portions may even be **“fabricated”**, meaning the traces were not actually generated by the claimed teacher model.[^3][^4]
|
| 90 |
+
|
| 91 |
+
Prior work further shows that CoT explanations can act as **post-hoc rationalizations** rather than genuine step-by-step reasoning[^3]. As a result, student models risk learning:
|
| 92 |
+
|
| 93 |
+
- Surface-level **pattern matching** instead of underlying reasoning
|
| 94 |
+
- **Answer memorization** rather than generalizable problem-solving
|
| 95 |
+
- Reduced robustness on out-of-distribution tasks
|
| 96 |
+
|
| 97 |
+
### ✅ What v3 Does Differently
|
| 98 |
+
|
| 99 |
+
| | v2 (Distillation) | v3 (Structural Alignment) |
|
| 100 |
+
|---|---|---|
|
| 101 |
+
| **CoT Source** | Third-party distilled traces | Curated, verifiable reasoning chains |
|
| 102 |
+
| **Learning Target** | Imitate teacher outputs | Learn process-level reasoning |
|
| 103 |
+
| **Reasoning Style** | Compressed, potentially fabricated | Explicit, step-by-step, faithful |
|
| 104 |
+
| **Robustness** | Lower on unseen tasks | Higher generalization |
|
| 105 |
+
|
| 106 |
+
v3 focuses on improving the **faithfulness, completeness, and structural clarity** of reasoning traces. Instead of imitating compressed teacher CoT, the model is trained to produce more explicit and verifiable intermediate steps — enabling a transition from **“answer imitation”** to **process-level reasoning learning**.
|
| 107 |
+
|
| 108 |
+
This improves both the interpretability and reliability of the reasoning process, providing a more stable foundation for downstream multi-step and agent-based tasks.
|
| 109 |
+
|
| 110 |
+
> ⚠️ **Side Effect:** The generated CoT length in v3 will be **significantly longer** than v2, as a direct consequence of more explicit intermediate reasoning.
|
| 111 |
+
|
| 112 |
+
---
|
| 113 |
+
|
| 114 |
+
### 🍎 Qwopus3.5-4B-v3: Humaneval Benchmark Evaluation
|
| 115 |
+
|
| 116 |
+
> 🔬 **Inference Setup:** All models were evaluated under the **Unsloth** runtime using **bfloat16 (BF16)** precision — optimally balanced for numerical range and memory efficiency at 4B scale. Answer verification, partial CoT adjudication, and statistical analysis were cross-validated by **GPT-4.5-Pro (Thinking)** and **Claude Opus 4.6 (Thinking)** to ensure reproducibility.
|
| 117 |
+
|
| 118 |
+
### 📊 HumanEval — 164-Task Full Benchmark
|
| 119 |
+
|
| 120 |
+
Three 4B-scale Qwen-family models were evaluated under a **conservative manual adjudication protocol**, addressing:
|
| 121 |
+
- 🧹 Code-extraction pollution
|
| 122 |
+
- ✂️ Answer / code separation issues
|
| 123 |
+
- 🗂️ Formatting noise in otherwise correct outputs
|
| 124 |
+
|
| 125 |
+
> 🏆 **Result:** Under this fair and strict evaluation setting, **Qwopus3.5-4B-v3 achieves the best strict overall score of 75.61% (124/164)** — outperforming **Qwen3.5-4B** (72.56%, 119/164) and **Claude-Distilled-v2** (69.51%, 114/164), while simultaneously reducing the number of manual rescues required.
|
| 126 |
+
|
| 127 |
+
| Model | Base Pass | Plus Pass | vs. Qwen3.5-4B |
|
| 128 |
+
| :--- | :---: | :---: | :---: |
|
| 129 |
+
| 🥇 **Qwopus3.5-4B-v3** | **77.44%** (127/164) | **75.61%** (124/164) | 📈 **+3.05 pp** |
|
| 130 |
+
| Qwen3.5-4B | 76.83% (126/164) | 72.56% (119/164) | — Baseline — |
|
| 131 |
+
| Claude-Distilled-v2 | 73.17% (120/164) | 69.51% (114/164) | 📉 −3.05 pp |
|
| 132 |
+
|
| 133 |
+
---
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
## 🗺️ Training Pipeline Overview
|
| 137 |
+
|
| 138 |
+
```text
|
| 139 |
+
Base Model (Qwen3.5-4B)
|
| 140 |
+
│
|
| 141 |
+
▼
|
| 142 |
+
Qwen3.5-4B fine-tuned with Unsloth
|
| 143 |
+
│
|
| 144 |
+
▼
|
| 145 |
+
Supervised Fine-Tuning (SFT) + LoRA
|
| 146 |
+
(Response-Only Training masked on "<|im_start|>assistant\n<think>")
|
| 147 |
+
│
|
| 148 |
+
▼
|
| 149 |
+
Qwopus3.5-4B-v3
|
| 150 |
+
```
|
| 151 |
+
|
| 152 |
+
### 🧠 Example of Learned Reasoning Scaffold
|
| 153 |
+
|
| 154 |
+
The model includes targeted optimizations addressing Qwen3.5's tendency toward excessive or repetitive reasoning on simple queries. By distilling the structured reasoning habits of top-tier models like Claude Opus, Qwopus3.5-4B-v3 adopts a highly organized, step-by-step cognitive layout.
|
| 155 |
+
|
| 156 |
+
|
| 157 |
+
```text
|
| 158 |
+
Example：The user is asking about [Topic] and how it differs from [Topic B]. This is a [Task type] question. Let me break this down:
|
| 159 |
+
|
| 160 |
+
1. What is [Topic A]?
|
| 161 |
+
- [Fact/Mechanism 1]
|
| 162 |
+
- [Fact/Mechanism 2]
|
| 163 |
+
2. What is [Topic B]?
|
| 164 |
+
- [Fact/Mechanism 1]
|
| 165 |
+
3. Key differences:
|
| 166 |
+
- [Comparison Point 1]
|
| 167 |
+
- [Comparison Point 2]
|
| 168 |
+
|
| 169 |
+
Let me make sure to be accurate: [...]
|
| 170 |
+
Actually, I should double-check: is [Fact] used before [Fact]? Yes, typically...
|
| 171 |
+
Let me provide a clear, well-structured answer:
|
| 172 |
+
```
|
| 173 |
+
|
| 174 |
+
|
| 175 |
+
### 📚 Training Data
|
| 176 |
+
The model was fine-tuned on a **high-fidelity reasoning dataset**, which was meticulously curated from a blend of premium open-source sources on Hugging Face. This dataset is the result of a rigorous **mixing and cleaning process**, specifically designed to filter out low-quality responses and ensure consistently strong logical performance across diverse analytical domains.
|
| 177 |
+
|
| 178 |
+
> *(Rest assured, the entire process is strictly by-the-book and 100% compliant with all terms and open-source licenses!)*
|
| 179 |
+
|
| 180 |
+
|
| 181 |
+
## ⚠️ Limitations & Intended Use
|
| 182 |
+
- **Hallucination Risk:** While reasoning is strong, the model remains an autoregressive LLM; external facts provided during the thinking sequence may occasionally contain hallucinations if verifying real-world events.
|
| 183 |
+
- **Intended Scenario:** Best suited for offline analytical tasks, coding, math, and heavy logic-dependent prompting where the user needs to transparently follow the AI's internal logic.
|
| 184 |
+
- This model is a test version intended solely for learning and demonstration purposes, and is for academic research and technical exploration use only.
|
| 185 |
+
- **Developer Disclaimer:** This is an independent, personal project. Since the developer lacks the specialized technical resources and infrastructure of a large-scale industrial lab, the model's reasoning chain (CoT) may occasionally exhibit instability, logic loops, or reasoning drift. Users are advised to use this model with these experimental limitations in mind.
|
| 186 |
+
|
| 187 |
+
> **Note:** The test results presented here differ from the scores on the 4B-v2 model card because the context length was increased for this evaluation. Consequently, the number of tasks affected by context window truncation has changed for each model, leading to different final scores. Please ensure comparisons are made under the same variable settings.
|
| 188 |
+
|
| 189 |
+
All post-evaluation standard result files will be uploaded to this repository for transparency and reproducibility. These include:
|
| 190 |
+
- `Jackrong_Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-v2_humaneval_all_evalonly_eval_results`
|
| 191 |
+
- `Jackrong_Qwopus3.5-4B-v3-test1_humaneval_all_evalonly_eval_results`
|
| 192 |
+
- `qwen_Qwen3.5-4B_humaneval_all_evalonly_eval_results`
|
| 193 |
+
|
| 194 |
+
⚠️ **Note on evaluation artifacts.**
|
| 195 |
+
The released result files are based on **raw model generations**, which may contain formatting issues (e.g., Markdown wrappers, answer/code mixing), truncation, or minor token-level corruption. As an independent project operating under limited resources, the evaluation scope here is intentionally focused rather than exhaustive — a comprehensive, multi-domain assessment comparable to large institutional releases was not feasible. Capabilities beyond those benchmarked remain unverified, and users are encouraged to evaluate suitability against their own task requirements before adoption.
|
| 196 |
+
|
| 197 |
+
|
| 198 |
+
## 🙏 Acknowledgements
|
| 199 |
+
Significant thanks to the [Unsloth AI](https://unsloth.ai/) team for making rapid fine-tuning of large LLM models accessible. Additionally, we acknowledge Qwen internally, and the open-source community developers producing exceptional distilled datasets.
|
| 200 |
+
|
| 201 |
+
This qwen3_5 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
|
| 202 |
+
|
| 203 |
+
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
| 204 |
+
|
| 205 |
+
## References
|
| 206 |
+
|
| 207 |
+
[^1]: Shinn, N., Cassano, F., Berman, E., Gopinath, A., Narasimhan, K., & Yao, S. (2023).
|
| 208 |
+
*Reflexion: Language Agents with Verbal Reinforcement Learning*.
|
| 209 |
+
arXiv:2303.11366.
|
| 210 |
+
|
| 211 |
+
[^2]: Bensal, S., Jamil, U., Bryant, C., Russak, M., Kamble, K., Mozolevskyi, D., Ali, M., & AlShikh, W. (2025).
|
| 212 |
+
*Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning*.
|
| 213 |
+
arXiv:2505.24726. https://arxiv.org/abs/2505.24726
|
| 214 |
+
|
| 215 |
+
[^3]: Anthropic (2025). *Reasoning Models Don't Always Say What They Think*.
|
| 216 |
+
https://www.anthropic.com/research/reasoning-models-dont-say-think
|
| 217 |
+
|
| 218 |
+
[^4]: Lyu et al. (2023). *Faithful Chain-of-Thought Reasoning*. ACL.
|
| 219 |
+
https://aclanthology.org/2023.ijcnlp-main.20/
|
| 220 |
+
|
| 221 |
+
|
| 222 |
+
## 📖 Citation
|
| 223 |
+
|
| 224 |
+
If you use this model in your research or projects, please cite:
|
| 225 |
+
|
| 226 |
+
```bibtex
|
| 227 |
+
@misc{jackrong_qwen35_4b_v3
|
| 228 |
+
title = {Jackrong/Qwopus3.5-4B-v3},
|
| 229 |
+
author = {Jackrong},
|
| 230 |
+
year = {2026},
|
| 231 |
+
publisher = {Hugging Face},
|
| 232 |
+
howpublished = {\url{https://huggingface.co/Jackrong/Qwopus3.5-4B-v3}}
|
| 233 |
+
}
|
| 234 |
+
```
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,88 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# 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>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\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" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant
|
| 86 |
+
<think>
|
| 87 |
+
' }}
|
| 88 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,114 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"torch_dtype": "bfloat16",
|
| 6 |
+
"eos_token_id": 248046,
|
| 7 |
+
"image_token_id": 248056,
|
| 8 |
+
"model_name": "unsloth/Qwen3.5-4B",
|
| 9 |
+
"model_type": "qwen3_5",
|
| 10 |
+
"pad_token_id": 248055,
|
| 11 |
+
"text_config": {
|
| 12 |
+
"attention_bias": false,
|
| 13 |
+
"attention_dropout": 0.0,
|
| 14 |
+
"attn_output_gate": true,
|
| 15 |
+
"bos_token_id": null,
|
| 16 |
+
"torch_dtype": "bfloat16",
|
| 17 |
+
"eos_token_id": 248044,
|
| 18 |
+
"full_attention_interval": 4,
|
| 19 |
+
"head_dim": 256,
|
| 20 |
+
"hidden_act": "silu",
|
| 21 |
+
"hidden_size": 2560,
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"intermediate_size": 9216,
|
| 24 |
+
"layer_types": [
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"full_attention"
|
| 57 |
+
],
|
| 58 |
+
"linear_conv_kernel_dim": 4,
|
| 59 |
+
"linear_key_head_dim": 128,
|
| 60 |
+
"linear_num_key_heads": 16,
|
| 61 |
+
"linear_num_value_heads": 32,
|
| 62 |
+
"linear_value_head_dim": 128,
|
| 63 |
+
"mamba_ssm_dtype": "float32",
|
| 64 |
+
"max_position_embeddings": 262144,
|
| 65 |
+
"mlp_only_layers": [],
|
| 66 |
+
"model_type": "qwen3_5_text",
|
| 67 |
+
"mtp_num_hidden_layers": 1,
|
| 68 |
+
"mtp_use_dedicated_embeddings": false,
|
| 69 |
+
"num_attention_heads": 16,
|
| 70 |
+
"num_hidden_layers": 32,
|
| 71 |
+
"num_key_value_heads": 4,
|
| 72 |
+
"pad_token_id": null,
|
| 73 |
+
"partial_rotary_factor": 0.25,
|
| 74 |
+
"rms_norm_eps": 1e-06,
|
| 75 |
+
"rope_parameters": {
|
| 76 |
+
"mrope_interleaved": true,
|
| 77 |
+
"mrope_section": [
|
| 78 |
+
11,
|
| 79 |
+
11,
|
| 80 |
+
10
|
| 81 |
+
],
|
| 82 |
+
"partial_rotary_factor": 0.25,
|
| 83 |
+
"rope_theta": 10000000,
|
| 84 |
+
"rope_type": "default"
|
| 85 |
+
},
|
| 86 |
+
"tie_word_embeddings": true,
|
| 87 |
+
"use_cache": true,
|
| 88 |
+
"vocab_size": 248320
|
| 89 |
+
},
|
| 90 |
+
"tie_word_embeddings": true,
|
| 91 |
+
"unsloth_fixed": true,
|
| 92 |
+
"unsloth_version": "2026.3.18",
|
| 93 |
+
"use_cache": false,
|
| 94 |
+
"video_token_id": 248057,
|
| 95 |
+
"vision_config": {
|
| 96 |
+
"deepstack_visual_indexes": [],
|
| 97 |
+
"depth": 24,
|
| 98 |
+
"torch_dtype": "bfloat16",
|
| 99 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 100 |
+
"hidden_size": 1024,
|
| 101 |
+
"in_channels": 3,
|
| 102 |
+
"initializer_range": 0.02,
|
| 103 |
+
"intermediate_size": 4096,
|
| 104 |
+
"model_type": "qwen3_5",
|
| 105 |
+
"num_heads": 16,
|
| 106 |
+
"num_position_embeddings": 2304,
|
| 107 |
+
"out_hidden_size": 2560,
|
| 108 |
+
"patch_size": 16,
|
| 109 |
+
"spatial_merge_size": 2,
|
| 110 |
+
"temporal_patch_size": 2
|
| 111 |
+
},
|
| 112 |
+
"vision_end_token_id": 248054,
|
| 113 |
+
"vision_start_token_id": 248053
|
| 114 |
+
}
|
model.safetensors-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a67a7ad7c379f37fd2a676bf189acc2294d4ee53ebc9c76e65f67ce06d227b06
|
| 3 |
+
size 5329398688
|
model.safetensors-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2e70507c698e7319abe1b268b1a936e59f77ca9ffc6288ff064167c54841525b
|
| 3 |
+
size 3990429408
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,745 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 9319737856
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"model.language_model.embed_tokens.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 7 |
+
"model.language_model.layers.1.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 8 |
+
"model.language_model.layers.1.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 9 |
+
"model.language_model.layers.1.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 10 |
+
"model.language_model.layers.10.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 11 |
+
"model.language_model.layers.10.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 12 |
+
"model.language_model.layers.10.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 13 |
+
"model.language_model.layers.11.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 14 |
+
"model.language_model.layers.11.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 15 |
+
"model.language_model.layers.11.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 16 |
+
"model.language_model.layers.18.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 17 |
+
"model.language_model.layers.18.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 18 |
+
"model.language_model.layers.18.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 19 |
+
"model.language_model.layers.19.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 20 |
+
"model.language_model.layers.19.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 21 |
+
"model.language_model.layers.19.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 22 |
+
"model.language_model.layers.12.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 23 |
+
"model.language_model.layers.12.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 24 |
+
"model.language_model.layers.12.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 25 |
+
"model.language_model.layers.13.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 26 |
+
"model.language_model.layers.13.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 27 |
+
"model.language_model.layers.13.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 28 |
+
"model.language_model.layers.7.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 29 |
+
"model.language_model.layers.8.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 30 |
+
"model.language_model.layers.8.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 31 |
+
"model.language_model.layers.8.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 32 |
+
"model.language_model.layers.21.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 33 |
+
"model.language_model.layers.21.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 34 |
+
"model.language_model.layers.21.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 35 |
+
"model.language_model.layers.22.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 36 |
+
"model.language_model.layers.22.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 37 |
+
"model.language_model.layers.22.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 38 |
+
"model.language_model.layers.23.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 39 |
+
"model.language_model.layers.23.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 40 |
+
"model.language_model.layers.23.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 41 |
+
"model.language_model.layers.31.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 42 |
+
"model.language_model.layers.31.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 43 |
+
"model.language_model.layers.31.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 44 |
+
"model.language_model.layers.4.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 45 |
+
"model.language_model.layers.4.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 46 |
+
"model.language_model.layers.4.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 47 |
+
"model.language_model.layers.14.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 48 |
+
"model.language_model.layers.14.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 49 |
+
"model.language_model.layers.14.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 50 |
+
"model.language_model.layers.15.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 51 |
+
"model.language_model.layers.15.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 52 |
+
"model.language_model.layers.15.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 53 |
+
"model.language_model.layers.9.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 54 |
+
"model.language_model.layers.9.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 55 |
+
"model.language_model.layers.9.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 56 |
+
"mtp.layers.0.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 57 |
+
"mtp.layers.0.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 58 |
+
"mtp.layers.0.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 59 |
+
"model.language_model.layers.29.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 60 |
+
"model.language_model.layers.3.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 61 |
+
"model.language_model.layers.3.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 62 |
+
"model.language_model.layers.3.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 63 |
+
"model.language_model.layers.30.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 64 |
+
"model.language_model.layers.30.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 65 |
+
"model.language_model.layers.30.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 66 |
+
"model.language_model.layers.16.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 67 |
+
"model.language_model.layers.16.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 68 |
+
"model.language_model.layers.16.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 69 |
+
"model.language_model.layers.17.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 70 |
+
"model.language_model.layers.17.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 71 |
+
"model.language_model.layers.17.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 72 |
+
"model.language_model.layers.24.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 73 |
+
"model.language_model.layers.24.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 74 |
+
"model.language_model.layers.24.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 75 |
+
"model.language_model.layers.5.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 76 |
+
"model.language_model.layers.5.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 77 |
+
"model.language_model.layers.5.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 78 |
+
"model.language_model.layers.6.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 79 |
+
"model.language_model.layers.6.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 80 |
+
"model.language_model.layers.6.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 81 |
+
"model.language_model.layers.7.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 82 |
+
"model.language_model.layers.7.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 83 |
+
"model.language_model.layers.2.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 84 |
+
"model.language_model.layers.2.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 85 |
+
"model.language_model.layers.2.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 86 |
+
"model.language_model.layers.20.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 87 |
+
"model.language_model.layers.20.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 88 |
+
"model.language_model.layers.20.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 89 |
+
"model.language_model.layers.25.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 90 |
+
"model.language_model.layers.25.mlp.gate_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 91 |
+
"model.language_model.layers.25.mlp.up_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 92 |
+
"model.language_model.layers.26.mlp.down_proj.weight": "model.safetensors-00001-of-00002.safetensors",
|
| 93 |
+
"model.language_model.layers.26.mlp.gate_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 94 |
+
"model.language_model.layers.26.mlp.up_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 95 |
+
"model.language_model.layers.27.mlp.down_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 96 |
+
"model.language_model.layers.27.mlp.gate_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 97 |
+
"model.language_model.layers.27.mlp.up_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 98 |
+
"model.language_model.layers.28.mlp.down_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 99 |
+
"model.language_model.layers.28.mlp.gate_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 100 |
+
"model.language_model.layers.28.mlp.up_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 101 |
+
"model.language_model.layers.29.mlp.gate_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 102 |
+
"model.language_model.layers.29.mlp.up_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 103 |
+
"model.language_model.layers.0.mlp.down_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 104 |
+
"model.language_model.layers.0.mlp.gate_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 105 |
+
"model.language_model.layers.0.mlp.up_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 106 |
+
"model.language_model.layers.10.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 107 |
+
"model.language_model.layers.11.self_attn.q_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 108 |
+
"model.language_model.layers.18.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 109 |
+
"model.language_model.layers.19.self_attn.q_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 110 |
+
"model.language_model.layers.2.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 111 |
+
"model.language_model.layers.12.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 112 |
+
"model.language_model.layers.13.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 113 |
+
"model.language_model.layers.7.self_attn.q_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 114 |
+
"model.language_model.layers.8.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 115 |
+
"model.language_model.layers.22.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 116 |
+
"model.language_model.layers.23.self_attn.q_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 117 |
+
"model.language_model.layers.31.self_attn.q_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 118 |
+
"model.language_model.layers.4.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 119 |
+
"model.language_model.layers.14.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 120 |
+
"model.language_model.layers.15.self_attn.q_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 121 |
+
"model.language_model.layers.9.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 122 |
+
"mtp.layers.0.self_attn.q_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 123 |
+
"model.language_model.layers.3.self_attn.q_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 124 |
+
"model.language_model.layers.30.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 125 |
+
"model.language_model.layers.16.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 126 |
+
"model.language_model.layers.17.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 127 |
+
"model.language_model.layers.24.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 128 |
+
"model.language_model.layers.25.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 129 |
+
"model.language_model.layers.5.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 130 |
+
"model.language_model.layers.6.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 131 |
+
"model.language_model.layers.20.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 132 |
+
"model.language_model.layers.21.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 133 |
+
"model.language_model.layers.26.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 134 |
+
"model.language_model.layers.27.self_attn.q_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 135 |
+
"model.language_model.layers.28.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 136 |
+
"model.language_model.layers.29.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 137 |
+
"model.language_model.layers.0.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 138 |
+
"model.language_model.layers.1.linear_attn.in_proj_qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 139 |
+
"model.visual.merger.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 140 |
+
"mtp.fc.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 141 |
+
"model.language_model.layers.10.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 142 |
+
"model.language_model.layers.10.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 143 |
+
"model.language_model.layers.11.self_attn.o_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 144 |
+
"model.language_model.layers.18.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 145 |
+
"model.language_model.layers.18.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 146 |
+
"model.language_model.layers.19.self_attn.o_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 147 |
+
"model.language_model.layers.2.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 148 |
+
"model.language_model.layers.12.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 149 |
+
"model.language_model.layers.12.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 150 |
+
"model.language_model.layers.13.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 151 |
+
"model.language_model.layers.13.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 152 |
+
"model.language_model.layers.7.self_attn.o_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 153 |
+
"model.language_model.layers.8.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 154 |
+
"model.language_model.layers.8.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 155 |
+
"model.language_model.layers.21.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 156 |
+
"model.language_model.layers.22.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 157 |
+
"model.language_model.layers.22.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 158 |
+
"model.language_model.layers.23.self_attn.o_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 159 |
+
"model.language_model.layers.31.self_attn.o_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 160 |
+
"model.language_model.layers.4.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 161 |
+
"model.language_model.layers.4.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 162 |
+
"model.language_model.layers.14.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 163 |
+
"model.language_model.layers.14.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 164 |
+
"model.language_model.layers.15.self_attn.o_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 165 |
+
"model.language_model.layers.9.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 166 |
+
"model.language_model.layers.9.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 167 |
+
"mtp.layers.0.self_attn.o_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 168 |
+
"model.language_model.layers.3.self_attn.o_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 169 |
+
"model.language_model.layers.30.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 170 |
+
"model.language_model.layers.30.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 171 |
+
"model.language_model.layers.16.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 172 |
+
"model.language_model.layers.16.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 173 |
+
"model.language_model.layers.17.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 174 |
+
"model.language_model.layers.17.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 175 |
+
"model.language_model.layers.24.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 176 |
+
"model.language_model.layers.24.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 177 |
+
"model.language_model.layers.25.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 178 |
+
"model.language_model.layers.25.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 179 |
+
"model.language_model.layers.5.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 180 |
+
"model.language_model.layers.5.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 181 |
+
"model.language_model.layers.6.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 182 |
+
"model.language_model.layers.6.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 183 |
+
"model.language_model.layers.2.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 184 |
+
"model.language_model.layers.20.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 185 |
+
"model.language_model.layers.20.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 186 |
+
"model.language_model.layers.21.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 187 |
+
"model.language_model.layers.26.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 188 |
+
"model.language_model.layers.26.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 189 |
+
"model.language_model.layers.27.self_attn.o_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 190 |
+
"model.language_model.layers.28.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 191 |
+
"model.language_model.layers.28.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 192 |
+
"model.language_model.layers.29.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 193 |
+
"model.language_model.layers.29.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 194 |
+
"model.language_model.layers.0.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 195 |
+
"model.language_model.layers.0.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 196 |
+
"model.language_model.layers.1.linear_attn.in_proj_z.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 197 |
+
"model.language_model.layers.1.linear_attn.out_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 198 |
+
"model.visual.merger.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 199 |
+
"model.visual.blocks.0.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 200 |
+
"model.visual.blocks.0.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 201 |
+
"model.visual.blocks.1.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 202 |
+
"model.visual.blocks.1.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 203 |
+
"model.visual.blocks.10.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 204 |
+
"model.visual.blocks.10.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 205 |
+
"model.visual.blocks.11.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 206 |
+
"model.visual.blocks.11.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 207 |
+
"model.visual.blocks.12.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 208 |
+
"model.visual.blocks.12.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 209 |
+
"model.visual.blocks.13.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 210 |
+
"model.visual.blocks.13.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 211 |
+
"model.visual.blocks.14.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 212 |
+
"model.visual.blocks.14.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 213 |
+
"model.visual.blocks.15.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 214 |
+
"model.visual.blocks.15.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 215 |
+
"model.visual.blocks.16.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 216 |
+
"model.visual.blocks.16.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 217 |
+
"model.visual.blocks.17.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 218 |
+
"model.visual.blocks.17.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 219 |
+
"model.visual.blocks.18.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 220 |
+
"model.visual.blocks.18.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 221 |
+
"model.visual.blocks.19.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 222 |
+
"model.visual.blocks.19.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 223 |
+
"model.visual.blocks.2.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 224 |
+
"model.visual.blocks.2.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 225 |
+
"model.visual.blocks.20.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 226 |
+
"model.visual.blocks.20.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 227 |
+
"model.visual.blocks.21.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 228 |
+
"model.visual.blocks.21.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 229 |
+
"model.visual.blocks.22.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 230 |
+
"model.visual.blocks.22.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 231 |
+
"model.visual.blocks.23.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 232 |
+
"model.visual.blocks.23.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 233 |
+
"model.visual.blocks.3.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 234 |
+
"model.visual.blocks.3.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 235 |
+
"model.visual.blocks.4.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 236 |
+
"model.visual.blocks.4.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 237 |
+
"model.visual.blocks.5.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 238 |
+
"model.visual.blocks.5.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 239 |
+
"model.visual.blocks.6.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 240 |
+
"model.visual.blocks.6.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 241 |
+
"model.visual.blocks.7.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 242 |
+
"model.visual.blocks.7.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 243 |
+
"model.visual.blocks.8.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 244 |
+
"model.visual.blocks.8.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 245 |
+
"model.visual.blocks.9.mlp.linear_fc1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 246 |
+
"model.visual.blocks.9.mlp.linear_fc2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 247 |
+
"model.visual.blocks.0.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 248 |
+
"model.visual.blocks.1.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 249 |
+
"model.visual.blocks.10.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 250 |
+
"model.visual.blocks.11.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 251 |
+
"model.visual.blocks.12.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 252 |
+
"model.visual.blocks.13.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 253 |
+
"model.visual.blocks.14.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 254 |
+
"model.visual.blocks.15.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 255 |
+
"model.visual.blocks.16.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 256 |
+
"model.visual.blocks.17.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 257 |
+
"model.visual.blocks.18.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 258 |
+
"model.visual.blocks.19.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 259 |
+
"model.visual.blocks.2.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 260 |
+
"model.visual.blocks.20.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 261 |
+
"model.visual.blocks.21.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 262 |
+
"model.visual.blocks.22.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 263 |
+
"model.visual.blocks.23.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 264 |
+
"model.visual.blocks.3.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 265 |
+
"model.visual.blocks.4.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 266 |
+
"model.visual.blocks.5.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 267 |
+
"model.visual.blocks.6.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 268 |
+
"model.visual.blocks.7.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 269 |
+
"model.visual.blocks.8.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 270 |
+
"model.visual.blocks.9.attn.qkv.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 271 |
+
"model.language_model.layers.11.self_attn.k_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 272 |
+
"model.language_model.layers.11.self_attn.v_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 273 |
+
"model.language_model.layers.19.self_attn.k_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 274 |
+
"model.language_model.layers.19.self_attn.v_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 275 |
+
"model.language_model.layers.7.self_attn.k_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 276 |
+
"model.language_model.layers.7.self_attn.v_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 277 |
+
"model.language_model.layers.23.self_attn.k_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 278 |
+
"model.language_model.layers.23.self_attn.v_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 279 |
+
"model.language_model.layers.31.self_attn.k_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 280 |
+
"model.language_model.layers.31.self_attn.v_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 281 |
+
"model.language_model.layers.15.self_attn.k_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 282 |
+
"model.language_model.layers.15.self_attn.v_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 283 |
+
"mtp.layers.0.self_attn.k_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 284 |
+
"mtp.layers.0.self_attn.v_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 285 |
+
"model.language_model.layers.3.self_attn.k_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 286 |
+
"model.language_model.layers.3.self_attn.v_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 287 |
+
"model.language_model.layers.27.self_attn.k_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 288 |
+
"model.language_model.layers.27.self_attn.v_proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 289 |
+
"model.visual.pos_embed.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 290 |
+
"model.visual.patch_embed.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 291 |
+
"model.visual.blocks.0.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 292 |
+
"model.visual.blocks.1.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 293 |
+
"model.visual.blocks.10.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 294 |
+
"model.visual.blocks.11.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 295 |
+
"model.visual.blocks.12.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 296 |
+
"model.visual.blocks.13.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 297 |
+
"model.visual.blocks.14.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 298 |
+
"model.visual.blocks.15.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 299 |
+
"model.visual.blocks.16.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 300 |
+
"model.visual.blocks.17.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 301 |
+
"model.visual.blocks.18.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 302 |
+
"model.visual.blocks.19.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 303 |
+
"model.visual.blocks.2.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 304 |
+
"model.visual.blocks.20.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 305 |
+
"model.visual.blocks.21.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 306 |
+
"model.visual.blocks.22.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 307 |
+
"model.visual.blocks.23.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 308 |
+
"model.visual.blocks.3.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 309 |
+
"model.visual.blocks.4.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 310 |
+
"model.visual.blocks.5.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 311 |
+
"model.visual.blocks.6.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 312 |
+
"model.visual.blocks.7.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 313 |
+
"model.visual.blocks.8.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 314 |
+
"model.visual.blocks.9.attn.proj.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 315 |
+
"model.language_model.layers.10.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 316 |
+
"model.language_model.layers.10.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 317 |
+
"model.language_model.layers.18.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 318 |
+
"model.language_model.layers.18.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 319 |
+
"model.language_model.layers.2.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 320 |
+
"model.language_model.layers.2.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 321 |
+
"model.language_model.layers.12.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 322 |
+
"model.language_model.layers.12.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 323 |
+
"model.language_model.layers.13.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 324 |
+
"model.language_model.layers.13.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 325 |
+
"model.language_model.layers.8.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 326 |
+
"model.language_model.layers.8.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 327 |
+
"model.language_model.layers.22.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 328 |
+
"model.language_model.layers.22.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 329 |
+
"model.language_model.layers.4.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 330 |
+
"model.language_model.layers.4.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 331 |
+
"model.language_model.layers.14.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 332 |
+
"model.language_model.layers.14.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 333 |
+
"model.language_model.layers.9.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 334 |
+
"model.language_model.layers.9.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 335 |
+
"model.language_model.layers.30.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 336 |
+
"model.language_model.layers.30.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 337 |
+
"model.language_model.layers.16.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 338 |
+
"model.language_model.layers.16.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 339 |
+
"model.language_model.layers.17.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 340 |
+
"model.language_model.layers.17.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 341 |
+
"model.language_model.layers.24.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 342 |
+
"model.language_model.layers.24.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 343 |
+
"model.language_model.layers.25.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 344 |
+
"model.language_model.layers.25.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 345 |
+
"model.language_model.layers.5.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 346 |
+
"model.language_model.layers.5.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 347 |
+
"model.language_model.layers.6.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 348 |
+
"model.language_model.layers.6.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 349 |
+
"model.language_model.layers.20.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 350 |
+
"model.language_model.layers.20.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 351 |
+
"model.language_model.layers.21.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 352 |
+
"model.language_model.layers.21.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 353 |
+
"model.language_model.layers.26.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 354 |
+
"model.language_model.layers.26.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 355 |
+
"model.language_model.layers.28.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 356 |
+
"model.language_model.layers.28.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 357 |
+
"model.language_model.layers.29.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 358 |
+
"model.language_model.layers.29.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 359 |
+
"model.language_model.layers.0.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 360 |
+
"model.language_model.layers.0.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 361 |
+
"model.language_model.layers.1.linear_attn.in_proj_b.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 362 |
+
"model.language_model.layers.1.linear_attn.in_proj_a.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 363 |
+
"model.language_model.layers.10.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 364 |
+
"model.language_model.layers.2.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 365 |
+
"model.language_model.layers.12.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 366 |
+
"model.language_model.layers.13.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 367 |
+
"model.language_model.layers.8.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 368 |
+
"model.language_model.layers.9.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 369 |
+
"model.language_model.layers.22.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 370 |
+
"model.language_model.layers.4.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 371 |
+
"model.language_model.layers.5.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 372 |
+
"model.language_model.layers.14.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 373 |
+
"model.language_model.layers.16.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 374 |
+
"model.language_model.layers.30.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 375 |
+
"model.language_model.layers.17.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 376 |
+
"model.language_model.layers.18.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 377 |
+
"model.language_model.layers.24.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 378 |
+
"model.language_model.layers.25.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 379 |
+
"model.language_model.layers.6.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 380 |
+
"model.language_model.layers.20.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 381 |
+
"model.language_model.layers.21.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 382 |
+
"model.language_model.layers.26.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 383 |
+
"model.language_model.layers.28.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 384 |
+
"model.language_model.layers.29.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 385 |
+
"model.language_model.layers.0.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 386 |
+
"model.language_model.layers.1.linear_attn.conv1d.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 387 |
+
"model.visual.blocks.0.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 388 |
+
"model.visual.blocks.1.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 389 |
+
"model.visual.blocks.10.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 390 |
+
"model.visual.blocks.11.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 391 |
+
"model.visual.blocks.12.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 392 |
+
"model.visual.blocks.13.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 393 |
+
"model.visual.blocks.14.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 394 |
+
"model.visual.blocks.15.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 395 |
+
"model.visual.blocks.16.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 396 |
+
"model.visual.blocks.17.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 397 |
+
"model.visual.blocks.18.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 398 |
+
"model.visual.blocks.19.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 399 |
+
"model.visual.blocks.2.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 400 |
+
"model.visual.blocks.20.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 401 |
+
"model.visual.blocks.21.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 402 |
+
"model.visual.blocks.22.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 403 |
+
"model.visual.blocks.23.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 404 |
+
"model.visual.blocks.3.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 405 |
+
"model.visual.blocks.4.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 406 |
+
"model.visual.blocks.5.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 407 |
+
"model.visual.blocks.6.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 408 |
+
"model.visual.blocks.7.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 409 |
+
"model.visual.blocks.8.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 410 |
+
"model.visual.blocks.9.mlp.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 411 |
+
"model.visual.merger.linear_fc1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 412 |
+
"model.visual.blocks.0.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 413 |
+
"model.visual.blocks.1.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 414 |
+
"model.visual.blocks.10.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 415 |
+
"model.visual.blocks.11.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 416 |
+
"model.visual.blocks.12.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 417 |
+
"model.visual.blocks.13.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 418 |
+
"model.visual.blocks.14.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 419 |
+
"model.visual.blocks.15.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 420 |
+
"model.visual.blocks.16.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 421 |
+
"model.visual.blocks.17.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 422 |
+
"model.visual.blocks.18.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 423 |
+
"model.visual.blocks.19.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 424 |
+
"model.visual.blocks.2.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 425 |
+
"model.visual.blocks.20.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 426 |
+
"model.visual.blocks.21.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 427 |
+
"model.visual.blocks.22.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 428 |
+
"model.visual.blocks.23.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 429 |
+
"model.visual.blocks.3.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 430 |
+
"model.visual.blocks.4.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 431 |
+
"model.visual.blocks.5.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 432 |
+
"model.visual.blocks.6.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 433 |
+
"model.visual.blocks.7.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 434 |
+
"model.visual.blocks.8.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 435 |
+
"model.visual.blocks.9.attn.qkv.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 436 |
+
"model.language_model.layers.10.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 437 |
+
"model.language_model.layers.10.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 438 |
+
"model.language_model.layers.11.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 439 |
+
"model.language_model.layers.11.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 440 |
+
"model.language_model.layers.18.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 441 |
+
"model.language_model.layers.19.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 442 |
+
"model.language_model.layers.19.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 443 |
+
"model.language_model.layers.2.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 444 |
+
"model.language_model.layers.12.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 445 |
+
"model.language_model.layers.12.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 446 |
+
"model.language_model.layers.13.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 447 |
+
"model.language_model.layers.13.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 448 |
+
"model.language_model.layers.7.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 449 |
+
"model.language_model.layers.8.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 450 |
+
"model.language_model.layers.8.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 451 |
+
"model.language_model.layers.9.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 452 |
+
"model.language_model.layers.21.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 453 |
+
"model.language_model.layers.22.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 454 |
+
"model.language_model.layers.22.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 455 |
+
"model.language_model.layers.23.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 456 |
+
"model.language_model.layers.23.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 457 |
+
"model.language_model.layers.31.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 458 |
+
"model.language_model.layers.4.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 459 |
+
"model.language_model.layers.4.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 460 |
+
"model.language_model.layers.14.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 461 |
+
"model.language_model.layers.14.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 462 |
+
"model.language_model.layers.15.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 463 |
+
"model.language_model.layers.15.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 464 |
+
"model.language_model.layers.16.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 465 |
+
"model.language_model.layers.9.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 466 |
+
"mtp.layers.0.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 467 |
+
"mtp.layers.0.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 468 |
+
"mtp.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 469 |
+
"mtp.pre_fc_norm_embedding.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 470 |
+
"mtp.pre_fc_norm_hidden.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 471 |
+
"model.language_model.layers.3.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 472 |
+
"model.language_model.layers.3.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 473 |
+
"model.language_model.layers.30.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 474 |
+
"model.language_model.layers.30.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 475 |
+
"model.language_model.layers.31.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 476 |
+
"model.language_model.layers.16.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 477 |
+
"model.language_model.layers.17.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 478 |
+
"model.language_model.layers.17.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 479 |
+
"model.language_model.layers.18.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 480 |
+
"model.language_model.layers.24.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 481 |
+
"model.language_model.layers.24.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 482 |
+
"model.language_model.layers.25.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 483 |
+
"model.language_model.layers.25.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 484 |
+
"model.language_model.layers.5.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 485 |
+
"model.language_model.layers.5.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 486 |
+
"model.language_model.layers.6.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 487 |
+
"model.language_model.layers.6.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 488 |
+
"model.language_model.layers.7.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 489 |
+
"model.language_model.layers.2.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 490 |
+
"model.language_model.layers.20.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 491 |
+
"model.language_model.layers.20.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 492 |
+
"model.language_model.layers.21.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 493 |
+
"model.language_model.layers.26.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 494 |
+
"model.language_model.layers.26.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 495 |
+
"model.language_model.layers.27.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 496 |
+
"model.language_model.layers.27.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 497 |
+
"model.language_model.layers.28.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 498 |
+
"model.language_model.layers.28.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 499 |
+
"model.language_model.layers.29.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 500 |
+
"model.language_model.layers.29.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 501 |
+
"model.language_model.layers.0.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 502 |
+
"model.language_model.layers.0.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 503 |
+
"model.language_model.layers.1.input_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 504 |
+
"model.language_model.layers.1.post_attention_layernorm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 505 |
+
"model.language_model.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 506 |
+
"model.visual.merger.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 507 |
+
"model.visual.blocks.0.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 508 |
+
"model.visual.blocks.0.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 509 |
+
"model.visual.blocks.0.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 510 |
+
"model.visual.blocks.0.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 511 |
+
"model.visual.blocks.0.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 512 |
+
"model.visual.blocks.0.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 513 |
+
"model.visual.blocks.1.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 514 |
+
"model.visual.blocks.1.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 515 |
+
"model.visual.blocks.1.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 516 |
+
"model.visual.blocks.1.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 517 |
+
"model.visual.blocks.1.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 518 |
+
"model.visual.blocks.1.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 519 |
+
"model.visual.blocks.10.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 520 |
+
"model.visual.blocks.10.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 521 |
+
"model.visual.blocks.10.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 522 |
+
"model.visual.blocks.10.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 523 |
+
"model.visual.blocks.10.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 524 |
+
"model.visual.blocks.10.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 525 |
+
"model.visual.blocks.11.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 526 |
+
"model.visual.blocks.11.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 527 |
+
"model.visual.blocks.11.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 528 |
+
"model.visual.blocks.11.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 529 |
+
"model.visual.blocks.11.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 530 |
+
"model.visual.blocks.11.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 531 |
+
"model.visual.blocks.12.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 532 |
+
"model.visual.blocks.12.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 533 |
+
"model.visual.blocks.12.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 534 |
+
"model.visual.blocks.12.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 535 |
+
"model.visual.blocks.12.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 536 |
+
"model.visual.blocks.12.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 537 |
+
"model.visual.blocks.13.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 538 |
+
"model.visual.blocks.13.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 539 |
+
"model.visual.blocks.13.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 540 |
+
"model.visual.blocks.13.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 541 |
+
"model.visual.blocks.13.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 542 |
+
"model.visual.blocks.13.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 543 |
+
"model.visual.blocks.14.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 544 |
+
"model.visual.blocks.14.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 545 |
+
"model.visual.blocks.14.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 546 |
+
"model.visual.blocks.14.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 547 |
+
"model.visual.blocks.14.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 548 |
+
"model.visual.blocks.14.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 549 |
+
"model.visual.blocks.15.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 550 |
+
"model.visual.blocks.15.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 551 |
+
"model.visual.blocks.15.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 552 |
+
"model.visual.blocks.15.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 553 |
+
"model.visual.blocks.15.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 554 |
+
"model.visual.blocks.15.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 555 |
+
"model.visual.blocks.16.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 556 |
+
"model.visual.blocks.16.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 557 |
+
"model.visual.blocks.16.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 558 |
+
"model.visual.blocks.16.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 559 |
+
"model.visual.blocks.16.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 560 |
+
"model.visual.blocks.16.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 561 |
+
"model.visual.blocks.17.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 562 |
+
"model.visual.blocks.17.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 563 |
+
"model.visual.blocks.17.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 564 |
+
"model.visual.blocks.17.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 565 |
+
"model.visual.blocks.17.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 566 |
+
"model.visual.blocks.17.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 567 |
+
"model.visual.blocks.18.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 568 |
+
"model.visual.blocks.18.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 569 |
+
"model.visual.blocks.18.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 570 |
+
"model.visual.blocks.18.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 571 |
+
"model.visual.blocks.18.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 572 |
+
"model.visual.blocks.18.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 573 |
+
"model.visual.blocks.19.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 574 |
+
"model.visual.blocks.19.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 575 |
+
"model.visual.blocks.19.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 576 |
+
"model.visual.blocks.19.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 577 |
+
"model.visual.blocks.19.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 578 |
+
"model.visual.blocks.19.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 579 |
+
"model.visual.blocks.2.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 580 |
+
"model.visual.blocks.2.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 581 |
+
"model.visual.blocks.2.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 582 |
+
"model.visual.blocks.2.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 583 |
+
"model.visual.blocks.2.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 584 |
+
"model.visual.blocks.2.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 585 |
+
"model.visual.blocks.20.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 586 |
+
"model.visual.blocks.20.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 587 |
+
"model.visual.blocks.20.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 588 |
+
"model.visual.blocks.20.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 589 |
+
"model.visual.blocks.20.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 590 |
+
"model.visual.blocks.20.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 591 |
+
"model.visual.blocks.21.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 592 |
+
"model.visual.blocks.21.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 593 |
+
"model.visual.blocks.21.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 594 |
+
"model.visual.blocks.21.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 595 |
+
"model.visual.blocks.21.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 596 |
+
"model.visual.blocks.21.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 597 |
+
"model.visual.blocks.22.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 598 |
+
"model.visual.blocks.22.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 599 |
+
"model.visual.blocks.22.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 600 |
+
"model.visual.blocks.22.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 601 |
+
"model.visual.blocks.22.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 602 |
+
"model.visual.blocks.22.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 603 |
+
"model.visual.blocks.23.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 604 |
+
"model.visual.blocks.23.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 605 |
+
"model.visual.blocks.23.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 606 |
+
"model.visual.blocks.23.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 607 |
+
"model.visual.blocks.23.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 608 |
+
"model.visual.blocks.23.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 609 |
+
"model.visual.blocks.3.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 610 |
+
"model.visual.blocks.3.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 611 |
+
"model.visual.blocks.3.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 612 |
+
"model.visual.blocks.3.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 613 |
+
"model.visual.blocks.3.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 614 |
+
"model.visual.blocks.3.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 615 |
+
"model.visual.blocks.4.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 616 |
+
"model.visual.blocks.4.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 617 |
+
"model.visual.blocks.4.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 618 |
+
"model.visual.blocks.4.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 619 |
+
"model.visual.blocks.4.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 620 |
+
"model.visual.blocks.4.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 621 |
+
"model.visual.blocks.5.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 622 |
+
"model.visual.blocks.5.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 623 |
+
"model.visual.blocks.5.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 624 |
+
"model.visual.blocks.5.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 625 |
+
"model.visual.blocks.5.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 626 |
+
"model.visual.blocks.5.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 627 |
+
"model.visual.blocks.6.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 628 |
+
"model.visual.blocks.6.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 629 |
+
"model.visual.blocks.6.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 630 |
+
"model.visual.blocks.6.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 631 |
+
"model.visual.blocks.6.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 632 |
+
"model.visual.blocks.6.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 633 |
+
"model.visual.blocks.7.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 634 |
+
"model.visual.blocks.7.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 635 |
+
"model.visual.blocks.7.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 636 |
+
"model.visual.blocks.7.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 637 |
+
"model.visual.blocks.7.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 638 |
+
"model.visual.blocks.7.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 639 |
+
"model.visual.blocks.8.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 640 |
+
"model.visual.blocks.8.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 641 |
+
"model.visual.blocks.8.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 642 |
+
"model.visual.blocks.8.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 643 |
+
"model.visual.blocks.8.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 644 |
+
"model.visual.blocks.8.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 645 |
+
"model.visual.blocks.9.attn.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 646 |
+
"model.visual.blocks.9.mlp.linear_fc2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 647 |
+
"model.visual.blocks.9.norm1.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 648 |
+
"model.visual.blocks.9.norm1.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 649 |
+
"model.visual.blocks.9.norm2.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 650 |
+
"model.visual.blocks.9.norm2.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 651 |
+
"model.visual.merger.norm.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 652 |
+
"model.visual.merger.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 653 |
+
"model.visual.patch_embed.proj.bias": "model.safetensors-00002-of-00002.safetensors",
|
| 654 |
+
"model.language_model.layers.10.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 655 |
+
"model.language_model.layers.11.self_attn.k_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 656 |
+
"model.language_model.layers.11.self_attn.q_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 657 |
+
"model.language_model.layers.18.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 658 |
+
"model.language_model.layers.19.self_attn.k_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 659 |
+
"model.language_model.layers.19.self_attn.q_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 660 |
+
"model.language_model.layers.2.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 661 |
+
"model.language_model.layers.12.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 662 |
+
"model.language_model.layers.13.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 663 |
+
"model.language_model.layers.7.self_attn.k_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 664 |
+
"model.language_model.layers.7.self_attn.q_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 665 |
+
"model.language_model.layers.8.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 666 |
+
"model.language_model.layers.22.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 667 |
+
"model.language_model.layers.23.self_attn.k_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 668 |
+
"model.language_model.layers.31.self_attn.k_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 669 |
+
"model.language_model.layers.31.self_attn.q_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 670 |
+
"model.language_model.layers.4.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 671 |
+
"model.language_model.layers.14.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 672 |
+
"model.language_model.layers.15.self_attn.k_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 673 |
+
"model.language_model.layers.15.self_attn.q_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 674 |
+
"model.language_model.layers.9.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 675 |
+
"mtp.layers.0.self_attn.k_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 676 |
+
"mtp.layers.0.self_attn.q_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 677 |
+
"model.language_model.layers.3.self_attn.k_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 678 |
+
"model.language_model.layers.3.self_attn.q_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 679 |
+
"model.language_model.layers.30.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 680 |
+
"model.language_model.layers.16.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 681 |
+
"model.language_model.layers.17.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 682 |
+
"model.language_model.layers.23.self_attn.q_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 683 |
+
"model.language_model.layers.24.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 684 |
+
"model.language_model.layers.25.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 685 |
+
"model.language_model.layers.5.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 686 |
+
"model.language_model.layers.6.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 687 |
+
"model.language_model.layers.20.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 688 |
+
"model.language_model.layers.21.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 689 |
+
"model.language_model.layers.26.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 690 |
+
"model.language_model.layers.27.self_attn.k_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 691 |
+
"model.language_model.layers.27.self_attn.q_norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 692 |
+
"model.language_model.layers.28.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 693 |
+
"model.language_model.layers.29.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 694 |
+
"model.language_model.layers.0.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 695 |
+
"model.language_model.layers.1.linear_attn.norm.weight": "model.safetensors-00002-of-00002.safetensors",
|
| 696 |
+
"model.language_model.layers.10.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 697 |
+
"model.language_model.layers.12.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 698 |
+
"model.language_model.layers.2.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 699 |
+
"model.language_model.layers.13.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 700 |
+
"model.language_model.layers.14.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 701 |
+
"model.language_model.layers.8.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 702 |
+
"model.language_model.layers.9.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 703 |
+
"model.language_model.layers.22.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 704 |
+
"model.language_model.layers.4.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 705 |
+
"model.language_model.layers.5.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 706 |
+
"model.language_model.layers.16.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 707 |
+
"model.language_model.layers.30.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 708 |
+
"model.language_model.layers.17.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 709 |
+
"model.language_model.layers.18.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 710 |
+
"model.language_model.layers.24.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 711 |
+
"model.language_model.layers.25.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 712 |
+
"model.language_model.layers.6.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 713 |
+
"model.language_model.layers.20.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 714 |
+
"model.language_model.layers.21.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 715 |
+
"model.language_model.layers.26.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 716 |
+
"model.language_model.layers.28.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 717 |
+
"model.language_model.layers.29.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 718 |
+
"model.language_model.layers.0.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 719 |
+
"model.language_model.layers.1.linear_attn.A_log": "model.safetensors-00002-of-00002.safetensors",
|
| 720 |
+
"model.language_model.layers.10.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 721 |
+
"model.language_model.layers.2.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 722 |
+
"model.language_model.layers.12.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 723 |
+
"model.language_model.layers.13.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 724 |
+
"model.language_model.layers.8.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 725 |
+
"model.language_model.layers.9.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 726 |
+
"model.language_model.layers.22.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 727 |
+
"model.language_model.layers.4.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 728 |
+
"model.language_model.layers.5.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 729 |
+
"model.language_model.layers.14.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 730 |
+
"model.language_model.layers.16.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 731 |
+
"model.language_model.layers.30.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 732 |
+
"model.language_model.layers.17.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 733 |
+
"model.language_model.layers.18.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 734 |
+
"model.language_model.layers.24.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 735 |
+
"model.language_model.layers.25.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 736 |
+
"model.language_model.layers.6.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 737 |
+
"model.language_model.layers.20.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 738 |
+
"model.language_model.layers.21.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 739 |
+
"model.language_model.layers.26.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 740 |
+
"model.language_model.layers.28.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 741 |
+
"model.language_model.layers.29.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 742 |
+
"model.language_model.layers.0.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors",
|
| 743 |
+
"model.language_model.layers.1.linear_attn.dt_bias": "model.safetensors-00002-of-00002.safetensors"
|
| 744 |
+
}
|
| 745 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"do_convert_rgb": true,
|
| 5 |
+
"do_normalize": true,
|
| 6 |
+
"do_rescale": true,
|
| 7 |
+
"do_resize": true,
|
| 8 |
+
"image_mean": [
|
| 9 |
+
0.5,
|
| 10 |
+
0.5,
|
| 11 |
+
0.5
|
| 12 |
+
],
|
| 13 |
+
"image_processor_type": "Qwen2VLImageProcessorFast",
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"merge_size": 2,
|
| 20 |
+
"patch_size": 16,
|
| 21 |
+
"resample": 3,
|
| 22 |
+
"rescale_factor": 0.00392156862745098,
|
| 23 |
+
"size": {
|
| 24 |
+
"longest_edge": 16777216,
|
| 25 |
+
"shortest_edge": 65536
|
| 26 |
+
},
|
| 27 |
+
"temporal_patch_size": 2
|
| 28 |
+
},
|
| 29 |
+
"processor_class": "Qwen3VLProcessor",
|
| 30 |
+
"video_processor": {
|
| 31 |
+
"data_format": "channels_first",
|
| 32 |
+
"default_to_square": true,
|
| 33 |
+
"do_convert_rgb": true,
|
| 34 |
+
"do_normalize": true,
|
| 35 |
+
"do_rescale": true,
|
| 36 |
+
"do_resize": true,
|
| 37 |
+
"do_sample_frames": true,
|
| 38 |
+
"fps": 2,
|
| 39 |
+
"image_mean": [
|
| 40 |
+
0.5,
|
| 41 |
+
0.5,
|
| 42 |
+
0.5
|
| 43 |
+
],
|
| 44 |
+
"image_std": [
|
| 45 |
+
0.5,
|
| 46 |
+
0.5,
|
| 47 |
+
0.5
|
| 48 |
+
],
|
| 49 |
+
"max_frames": 768,
|
| 50 |
+
"merge_size": 2,
|
| 51 |
+
"min_frames": 4,
|
| 52 |
+
"patch_size": 16,
|
| 53 |
+
"resample": 3,
|
| 54 |
+
"rescale_factor": 0.00392156862745098,
|
| 55 |
+
"return_metadata": false,
|
| 56 |
+
"size": {
|
| 57 |
+
"longest_edge": 25165824,
|
| 58 |
+
"shortest_edge": 4096
|
| 59 |
+
},
|
| 60 |
+
"temporal_patch_size": 2,
|
| 61 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 62 |
+
}
|
| 63 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
|
| 3 |
+
size 19989343
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": false,
|
| 13 |
+
"model_max_length": 262144,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"audio_bos_token": "<|audio_start|>",
|
| 16 |
+
"audio_eos_token": "<|audio_end|>",
|
| 17 |
+
"audio_token": "<|audio_pad|>",
|
| 18 |
+
"image_token": "<|image_pad|>",
|
| 19 |
+
"video_token": "<|video_pad|>",
|
| 20 |
+
"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|vision_pad|>",
|
| 24 |
+
"padding_side": "right",
|
| 25 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "TokenizersBackend",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>",
|
| 33 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\n<think>\n' }}\n{%- endif %}"
|
| 34 |
+
}
|