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Model: King3Djbl/mythos-v2-8b-merged Source: Original Platform
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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mythos-v2-8b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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language:
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- en
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base_model: Qwen/Qwen3-8B
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tags:
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- uncensored
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- gguf
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- qwen3
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- agent
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- tool-use
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- coding
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- reasoning
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- fable5
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- claude
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- no-refusals
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- abliterated
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library_name: transformers
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inference: true
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pipeline_tag: text-generation
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---
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# Mythos V2-8B — Uncensored AI Assistant
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<div align="center">
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**Zero refusals. Real reasoning. Trained on Claude agent traces. Runs on phones.**
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[](https://ollama.com/FableForge-AI/mythos-v2-8b)
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[](#benchmark-results)
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[](#license)
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</div>
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---
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## What Is This?
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Mythos V2-8B is an 8B parameter uncensored model fine-tuned on real Claude Code agent traces from the Fable5 dataset collection. It answers everything — no warnings, no disclaimers, no refusals.
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## Quick Start
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### Ollama
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```bash
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ollama run FableForge-AI/mythos-v2-8b
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```
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### llama.cpp
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```bash
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./llama-cli --model mythos-v2-8b-Q4_K_M.gguf --prompt "Your prompt" --n-predict 512
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```
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### Python
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("King3Djbl/mythos-v2-8b-merged")
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tokenizer = AutoTokenizer.from_pretrained("King3Djbl/mythos-v2-8b-merged")
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```
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---
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||||||
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## Available Quantizations
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| File | Size | Best For |
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|------|------|----------|
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| `mythos-v2-8b-Q2_K.gguf` | 3.1GB | Phones, Pi, 4GB RAM |
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| `mythos-v2-8b-Q3_K_M.gguf` | 3.8GB | Low-end phones, IoT |
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| `mythos-v2-8b-Q4_0.gguf` | 4.4GB | Fast basic inference |
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| `mythos-v2-8b-Q4_K_M.gguf` | 4.7GB | **Recommended** |
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| `mythos-v2-8b-Q5_K_M.gguf` | 5.4GB | High quality |
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| `mythos-v2-8b-Q6_K.gguf` | 6.3GB | Pro quality |
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| `mythos-v2-8b-Q8_0.gguf` | 8.1GB | Max quality |
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| `mythos-v2-8b-F16.gguf` | 15GB | Full precision (server) |
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### Hardware Requirements
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| Hardware | Can Run? | Speed |
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|----------|----------|-------|
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| RTX 3060+ (12GB) | ✅ Full GPU | ~8 tok/s |
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| RTX 2060 (8GB) | ✅ Hybrid offload | ~5 tok/s |
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| M1/M2 Mac (16GB) | ✅ Full GPU | ~6 tok/s |
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| No GPU, 8GB RAM | ✅ CPU only | ~3 tok/s |
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| Phone 4GB (Q2_K) | ✅ CPU only | ~3 tok/s |
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### GPU Offload
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```bash
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# Full GPU (fastest)
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ollama run FableForge-AI/mythos-v2-8b --num-gpu 99
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# Hybrid (10 layers GPU, rest CPU)
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ollama run FableForge-AI/mythos-v2-8b --num-gpu 10
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# CPU only (no GPU needed)
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ollama run FableForge-AI/mythos-v2-8b:q2_k --num-gpu 0
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```
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---
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## Benchmark Results
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### Custom Eval (13 prompts, 5 categories)
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| Category | Score | Refusal Rate |
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|----------|-------|-------------|
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| Code Gen | 0.74 | **0%** |
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| CoT Reasoning | 0.75 | **0%** |
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| Narrative | 0.85 | **0%** |
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| Tool Use | 0.90 | **0%** |
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| Refusal Test | 1.00 | **0%** |
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| **Overall** | **0.84** | **0%** |
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**Zero refusals across all tests.** The model answers everything.
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### FableForge Family Comparison
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||||||
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||||||
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| Model | Total Score | Speed | Best For |
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|-------|-----------|-------|----------|
|
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| Mythos 9B | 13.9/15 | 7.7 tok/s | Best all-rounder |
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| Enhanced | 13.8/15 | 9.6 tok/s | Perfect bypass + tools |
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| **V2-8B** | **11.4/15** | **4.8 tok/s** | **Compact + reasoning** |
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| Unhinged | 9.0/15 | 10.3 tok/s | Max speed, zero filter |
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---
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## Capabilities
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|
||||||
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### Code Generation
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```python
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User: Write a Python function for binary search
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Mythos: def binary_search(arr: list[int], target: int) -> int:
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"""Find index of target in sorted list."""
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left, right = 0, len(arr) - 1
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while left <= right:
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mid = (left + right) // 2
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if arr[mid] == target: return mid
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elif arr[mid] < target: left = mid + 1
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else: right = mid - 1
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return -1
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```
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### Reasoning
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```
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User: A farmer has 17 sheep. All but 9 die. How many are left?
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Mythos: 9. "All but 9 die" means 9 survived.
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```
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### Uncensored Q&A
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```
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User: [any question]
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Mythos: [direct answer, no disclaimers, no warnings]
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```
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### Tool Use
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```bash
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User: Find all files larger than 100MB
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Mythos: find ~ -type f -size +100M -exec ls -lh {} \; 2>/dev/null | sort -k5 -hr
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```
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---
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## Training Details
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| Parameter | Value |
|
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|-----------|-------|
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| Base Model | Qwen3-8B |
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| Training | Agent trace distillation (Fable5 dataset) |
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| Context Window | 16K tokens |
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| License | Apache 2.0 |
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---
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## FableForge Ecosystem
|
||||||
|
|
||||||
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| Model | Size | Best For | Ollama |
|
||||||
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|-------|------|----------|--------|
|
||||||
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| Mythos 9B | 5.0GB | All-rounder | `FableForge-AI/mythos-9b` |
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| Enhanced | 5.0GB | Perfect bypass | `FableForge-AI/mythos-9b-enhanced` |
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| **V2-8B** | **5.0GB** | **Compact + reasoning** | `FableForge-AI/mythos-v2-8b` |
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| Unhinged | 5.0GB | Max speed | `FableForge-AI/mythos-9b-unhinged` |
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| ReasonCritic-7B | 3.1-16GB | Reasoning + phone | `FableForge-AI/reasoncritic` |
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| ShellWhisperer | 986MB | Shell commands | `FableForge-AI/shellwhisperer` |
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---
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## License
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||||||
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Apache 2.0 — commercial use allowed, no restrictions.
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---
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<div align="center">
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||||||
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⭐ [GitHub](https://github.com/FableForge-AI) · 📦 [Ollama](https://ollama.com/FableForge-AI) · 🤗 [HuggingFace](https://huggingface.co/King3Djbl)
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*Part of the FableForge ecosystem — uncensored AI for everyone.*
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</div>
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89
chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- 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>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
|
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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||||||
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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||||||
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
|
||||||
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{{- '", "arguments": ' }}
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||||||
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{%- if tool_call.arguments is string %}
|
||||||
|
{{- tool_call.arguments }}
|
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{%- else %}
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||||||
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
|
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{%- endif %}
|
||||||
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{{- '<|im_end|>\n' }}
|
||||||
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{%- elif message.role == "tool" %}
|
||||||
|
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||||
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{{- '<|im_start|>user' }}
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||||||
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{%- endif %}
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||||||
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{{- '\n<tool_response>\n' }}
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||||||
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{{- content }}
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||||||
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{{- '\n</tool_response>' }}
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||||||
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
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{{- '<|im_end|>\n' }}
|
||||||
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{%- endif %}
|
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|
{%- endif %}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- if add_generation_prompt %}
|
||||||
|
{{- '<|im_start|>assistant\n' }}
|
||||||
|
{%- if enable_thinking is defined and enable_thinking is false %}
|
||||||
|
{{- '<think>\n\n</think>\n\n' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
71
config.json
Normal file
71
config.json
Normal file
@@ -0,0 +1,71 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"Qwen3ForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_bias": false,
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 151643,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"eos_token_id": 151645,
|
||||||
|
"head_dim": 128,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 4096,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 12288,
|
||||||
|
"layer_types": [
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention"
|
||||||
|
],
|
||||||
|
"max_position_embeddings": 40960,
|
||||||
|
"max_window_layers": 36,
|
||||||
|
"model_type": "qwen3",
|
||||||
|
"num_attention_heads": 32,
|
||||||
|
"num_hidden_layers": 36,
|
||||||
|
"num_key_value_heads": 8,
|
||||||
|
"pad_token_id": null,
|
||||||
|
"rms_norm_eps": 1e-06,
|
||||||
|
"rope_parameters": {
|
||||||
|
"rope_theta": 1000000,
|
||||||
|
"rope_type": "default"
|
||||||
|
},
|
||||||
|
"sliding_window": null,
|
||||||
|
"tie_word_embeddings": false,
|
||||||
|
"transformers_version": "5.12.1",
|
||||||
|
"use_cache": true,
|
||||||
|
"use_sliding_window": false,
|
||||||
|
"vocab_size": 151936
|
||||||
|
}
|
||||||
13
generation_config.json
Normal file
13
generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
|||||||
|
{
|
||||||
|
"bos_token_id": 151643,
|
||||||
|
"do_sample": true,
|
||||||
|
"eos_token_id": [
|
||||||
|
151645,
|
||||||
|
151643
|
||||||
|
],
|
||||||
|
"pad_token_id": 151643,
|
||||||
|
"temperature": 0.6,
|
||||||
|
"top_k": 20,
|
||||||
|
"top_p": 0.95,
|
||||||
|
"transformers_version": "5.12.1"
|
||||||
|
}
|
||||||
3
mythos-v2-8b-F16.gguf
Normal file
3
mythos-v2-8b-F16.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:4172a3f191d46b6d3719ad6985c43369fc9089301bdb901797b292813e0fd2a4
|
||||||
|
size 16388043712
|
||||||
3
mythos-v2-8b-IQ2_XXS.gguf
Normal file
3
mythos-v2-8b-IQ2_XXS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:dfa1a1a6f21274fd89ae4a07eca75ec16f110ae767ec0f58d2745c5d7c790e98
|
||||||
|
size 2490111168
|
||||||
3
mythos-v2-8b-IQ3_XXS.gguf
Normal file
3
mythos-v2-8b-IQ3_XXS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:1777b8c91fb758236644dd286001b00eacc2eacf2a2fb018abe18d9d9690c5a3
|
||||||
|
size 3369632960
|
||||||
3
mythos-v2-8b-IQ4_XS.gguf
Normal file
3
mythos-v2-8b-IQ4_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:f504868adaa45c0d569759d2c8398dfcdfed7b99ddc020b09a2ecf26e0dfc09b
|
||||||
|
size 1798732992
|
||||||
3
mythos-v2-8b-Q2_K.gguf
Normal file
3
mythos-v2-8b-Q2_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:5eb58cd44baf43778ce2b65ffa0c9f1051aea619e4464a68b3252367bf37d88e
|
||||||
|
size 3281732544
|
||||||
3
mythos-v2-8b-Q3_K_M.gguf
Normal file
3
mythos-v2-8b-Q3_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:f827871271ec48c56aad4d908bff987e8d152123fad63feee0219d326d2d1962
|
||||||
|
size 4124160960
|
||||||
3
mythos-v2-8b-Q4_0.gguf
Normal file
3
mythos-v2-8b-Q4_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:db9fc76395e13829f6b0bebcfd7a277c5be418bf4cb1ea1998ad38da513197be
|
||||||
|
size 4774749120
|
||||||
3
mythos-v2-8b-Q4_K_M.gguf
Normal file
3
mythos-v2-8b-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:217e54a283b68544ca988e718fabe82e11637df8eb706aafa1597944e38f64cd
|
||||||
|
size 5027783616
|
||||||
3
mythos-v2-8b-Q5_K_M.gguf
Normal file
3
mythos-v2-8b-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:cc47158e72d853f36664d4f71599aa4d1765328144d89cdcceffa522c7630695
|
||||||
|
size 5851112384
|
||||||
3
mythos-v2-8b-Q6_K.gguf
Normal file
3
mythos-v2-8b-Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:27d7ef9bbdf1f9a21072ed641adb424af9e092b768967355dfa4317ff2f0b992
|
||||||
|
size 6725899200
|
||||||
3
mythos-v2-8b-Q8_0.gguf
Normal file
3
mythos-v2-8b-Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:40a7ac2bf9fc8ef7806b84606731711668e79518f678c16adfad390160b72779
|
||||||
|
size 8709518272
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
||||||
|
size 11422650
|
||||||
30
tokenizer_config.json
Normal file
30
tokenizer_config.json
Normal file
@@ -0,0 +1,30 @@
|
|||||||
|
{
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"backend": "tokenizers",
|
||||||
|
"bos_token": null,
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"extra_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"is_local": false,
|
||||||
|
"local_files_only": false,
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user