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Browse files- .gitattributes +2 -0
- LICENSE +204 -0
- README.md +126 -0
- charts/categories-heatmap.png +3 -0
- charts/communicationbench.png +0 -0
- charts/eqbench4.png +0 -0
- charts/human-likeness.png +0 -0
- charts/storybench.png +0 -0
- charts/wrapped.png +0 -0
- chat_template.jinja +170 -0
- config.json +173 -0
- generation_config.json +13 -0
- model-00001-of-00012.safetensors +3 -0
- model-00002-of-00012.safetensors +3 -0
- model-00003-of-00012.safetensors +3 -0
- model-00004-of-00012.safetensors +3 -0
- model-00005-of-00012.safetensors +3 -0
- model-00006-of-00012.safetensors +3 -0
- model-00007-of-00012.safetensors +3 -0
- model-00008-of-00012.safetensors +3 -0
- model-00009-of-00012.safetensors +3 -0
- model-00010-of-00012.safetensors +3 -0
- model-00011-of-00012.safetensors +3 -0
- model-00012-of-00012.safetensors +3 -0
- model-mtp.safetensors +3 -0
- model.safetensors.index.json +1065 -0
- tokenizer.json +3 -0
- tokenizer_config.json +32 -0
.gitattributes
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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charts/categories-heatmap.png filter=lfs diff=lfs merge=lfs -text
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README.md
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|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: Altworld/Hemmingway-1
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
library_name: transformers
|
| 6 |
+
language:
|
| 7 |
+
- en
|
| 8 |
+
tags:
|
| 9 |
+
- qwen3.8
|
| 10 |
+
- chat
|
| 11 |
+
- creative-writing
|
| 12 |
+
- altworld
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
# Hemmingway-1
|
| 16 |
+
|
| 17 |
+
**The AI that writes like a person.** 27B parameters, open weights, Apache-2.0.
|
| 18 |
+
|
| 19 |
+
**[Weights →](https://huggingface.co/Altworld/Hemmingway-1)** · **[Try it →](https://hemmingway.io)** · **[Mac and Android apps →](https://hemmingway.io/download)** · **[Code →](https://github.com/lukeckprobierts/Hemmingway-1)** · **[Product Hunt →](https://www.producthunt.com/products/hemmingway-ai)**
|
| 20 |
+
|
| 21 |
+
Ask most models for a text to your landlord and you get three options, a
|
| 22 |
+
preamble, and a paragraph explaining the options. Hemmingway-1 just gives you
|
| 23 |
+
the text.
|
| 24 |
+
|
| 25 |
+
We built it for the writing people actually do every day: messages, emails, the
|
| 26 |
+
awkward note to a colleague, the thing you have been putting off. Then we
|
| 27 |
+
tested it against the biggest models in the world at exactly that, and it came
|
| 28 |
+
first.
|
| 29 |
+
|
| 30 |
+
## It writes the best everyday messages of any model we tested
|
| 31 |
+
|
| 32 |
+
We tested on eighty real requests. Every answer went head to head against
|
| 33 |
+
another model's answer to the same request, shuffled so the judge never knew
|
| 34 |
+
which was which.
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
It beats Fable 5.1, and it beats GPT-6 Astra by fifty points. Kimi K3, GLM-5.3,
|
| 39 |
+
Grok 4.6 and DeepSeek V4 Pro all come in behind it. That is a 27B model.
|
| 40 |
+
|
| 41 |
+
## And it is the one that sounds like a person
|
| 42 |
+
|
| 43 |
+
We ran the same matchups again with one question: which of these two did a
|
| 44 |
+
person write?
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
|
| 48 |
+
It finished twenty-six points clear of the next model.
|
| 49 |
+
|
| 50 |
+
## Where it wins
|
| 51 |
+
|
| 52 |
+
We broke it down by what you asked for. Higher means the judge more often took
|
| 53 |
+
its version for the one a person wrote.
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
|
| 57 |
+
It wins on money and admin, work, the hard asks you keep rewriting, and talking
|
| 58 |
+
someone round. Most of those by a wide margin. On hard asks, GPT-6 Astra gets
|
| 59 |
+
9%. Hemmingway-1 gets 72%.
|
| 60 |
+
|
| 61 |
+
It loses on hostile storytelling and long story turns. The story models are
|
| 62 |
+
better at those, and that is fair.
|
| 63 |
+
|
| 64 |
+
## You get the message, not a memo
|
| 65 |
+
|
| 66 |
+
One more thing we measured: how often a model buries the actual text in
|
| 67 |
+
commentary, options and notes you have to read past.
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
Fable 5, GLM-5.3 and Kimi K3 bury it in more than nine replies out of ten.
|
| 72 |
+
|
| 73 |
+
## It reads the room
|
| 74 |
+
|
| 75 |
+
EQ-Bench 4 is not ours. It is the public emotional-intelligence benchmark,
|
| 76 |
+
run by its own harness.
|
| 77 |
+
|
| 78 |
+
|
| 79 |
+
|
| 80 |
+
It placed third, past GPT-5.5, Opus 4.7 and Opus 4.8, and inside twelve points
|
| 81 |
+
of the best model on the board.
|
| 82 |
+
|
| 83 |
+
## It tells a decent story too
|
| 84 |
+
|
| 85 |
+
|
| 86 |
+
|
| 87 |
+
It sits level with Kimi K3, comfortably past Qwen3.8-Max and DeepSeek V4 Pro,
|
| 88 |
+
and 504 points above the model we started from.
|
| 89 |
+
|
| 90 |
+
## Run it
|
| 91 |
+
|
| 92 |
+
```bash
|
| 93 |
+
vllm serve Altworld/Hemmingway-1 --max-model-len 262144
|
| 94 |
+
```
|
| 95 |
+
|
| 96 |
+
```python
|
| 97 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 98 |
+
|
| 99 |
+
model_id = "Altworld/Hemmingway-1"
|
| 100 |
+
tok = AutoTokenizer.from_pretrained(model_id)
|
| 101 |
+
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", dtype="auto")
|
| 102 |
+
|
| 103 |
+
messages = [{"role": "user", "content": "Write the text I send my landlord about the broken boiler."}]
|
| 104 |
+
ids = tok.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
|
| 105 |
+
out = model.generate(ids, max_new_tokens=512)
|
| 106 |
+
print(tok.decode(out[0][ids.shape[-1]:], skip_special_tokens=True))
|
| 107 |
+
```
|
| 108 |
+
|
| 109 |
+
| | |
|
| 110 |
+
|---|---|
|
| 111 |
+
| Parameters | 27B |
|
| 112 |
+
| Built on | Qwen3.8-27B |
|
| 113 |
+
| Context | 262,144 tokens |
|
| 114 |
+
| Licence | Apache-2.0, yours to use, including commercially |
|
| 115 |
+
|
| 116 |
+
## The fine print
|
| 117 |
+
|
| 118 |
+
Full disclosure: CommunicationBench, Human-Likeness and StoryBench are our own
|
| 119 |
+
benchmarks. We built them, we ran them, and we are saying that up front. Every
|
| 120 |
+
matchup was blind and run in both orders so position could not sway the result,
|
| 121 |
+
and the judge was a different model from the ones being judged. EQ-Bench 4 is
|
| 122 |
+
not ours.
|
| 123 |
+
|
| 124 |
+
It is English-first. It can be wrong and still sound certain about it. So do
|
| 125 |
+
not use it to decide anything medical, legal or financial.
|
| 126 |
+
|
charts/categories-heatmap.png
ADDED
|
Git LFS Details
|
charts/communicationbench.png
ADDED
|
charts/eqbench4.png
ADDED
|
charts/human-likeness.png
ADDED
|
charts/storybench.png
ADDED
|
charts/wrapped.png
ADDED
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,170 @@
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|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- set reasoning_instructions = '' %}
|
| 46 |
+
{%- if enable_thinking is undefined or enable_thinking is true %}
|
| 47 |
+
{%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}
|
| 48 |
+
{%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}
|
| 49 |
+
{{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if resolved_reasoning_effort == 'xhigh' %}
|
| 52 |
+
{%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
|
| 53 |
+
{%- elif resolved_reasoning_effort == 'low' %}
|
| 54 |
+
{%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 58 |
+
{{- '<|im_start|>system\n' }}
|
| 59 |
+
{%- if reasoning_instructions %}
|
| 60 |
+
{{- reasoning_instructions + '\n\n' }}
|
| 61 |
+
{%- endif %}
|
| 62 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 63 |
+
{%- for tool in tools %}
|
| 64 |
+
{{- "\n" }}
|
| 65 |
+
{{- tool | tojson }}
|
| 66 |
+
{%- endfor %}
|
| 67 |
+
{{- "\n</tools>" }}
|
| 68 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 69 |
+
{%- if messages[0].role == 'system' %}
|
| 70 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 71 |
+
{%- if content %}
|
| 72 |
+
{{- '\n\n' + content }}
|
| 73 |
+
{%- endif %}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{{- '<|im_end|>\n' }}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- if messages[0].role == 'system' %}
|
| 78 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 79 |
+
{%- if content %}
|
| 80 |
+
{{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + content + '<|im_end|>\n' }}
|
| 81 |
+
{%- elif reasoning_instructions %}
|
| 82 |
+
{{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
|
| 83 |
+
{%- endif %}
|
| 84 |
+
{%- elif reasoning_instructions %}
|
| 85 |
+
{{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endif %}
|
| 88 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 89 |
+
{%- for message in messages[::-1] %}
|
| 90 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 91 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 92 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 93 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 94 |
+
{%- set ns.multi_step_tool = false %}
|
| 95 |
+
{%- set ns.last_query_index = index %}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endfor %}
|
| 99 |
+
{%- if ns.multi_step_tool %}
|
| 100 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 101 |
+
{%- endif %}
|
| 102 |
+
{%- for message in messages %}
|
| 103 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 104 |
+
{%- if message.role == "system" %}
|
| 105 |
+
{%- if not loop.first %}
|
| 106 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 107 |
+
{%- endif %}
|
| 108 |
+
{%- elif message.role == "user" %}
|
| 109 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 110 |
+
{%- elif message.role == "assistant" %}
|
| 111 |
+
{%- set reasoning_content = '' %}
|
| 112 |
+
{%- if message.reasoning_content is string %}
|
| 113 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 114 |
+
{%- endif %}
|
| 115 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 116 |
+
{%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}
|
| 117 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 118 |
+
{%- else %}
|
| 119 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 120 |
+
{%- endif %}
|
| 121 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 122 |
+
{%- for tool_call in message.tool_calls %}
|
| 123 |
+
{%- if tool_call.function is defined %}
|
| 124 |
+
{%- set tool_call = tool_call.function %}
|
| 125 |
+
{%- endif %}
|
| 126 |
+
{%- if loop.first %}
|
| 127 |
+
{%- if content|trim %}
|
| 128 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 129 |
+
{%- else %}
|
| 130 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 131 |
+
{%- endif %}
|
| 132 |
+
{%- else %}
|
| 133 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{%- if tool_call.arguments is defined and tool_call.arguments != '' %}
|
| 136 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 137 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 138 |
+
{%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
|
| 139 |
+
{{- args_value }}
|
| 140 |
+
{{- '\n</parameter>\n' }}
|
| 141 |
+
{%- endfor %}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{{- '</function>\n</tool_call>' }}
|
| 144 |
+
{%- endfor %}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{{- '<|im_end|>\n' }}
|
| 147 |
+
{%- elif message.role == "tool" %}
|
| 148 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 149 |
+
{{- '<|im_start|>user' }}
|
| 150 |
+
{%- endif %}
|
| 151 |
+
{{- '\n<tool_response>\n' }}
|
| 152 |
+
{{- content }}
|
| 153 |
+
{{- '\n</tool_response>' }}
|
| 154 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 155 |
+
{{- '<|im_end|>\n' }}
|
| 156 |
+
{%- elif loop.last %}
|
| 157 |
+
{{- '<|im_end|>\n' }}
|
| 158 |
+
{%- endif %}
|
| 159 |
+
{%- else %}
|
| 160 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 161 |
+
{%- endif %}
|
| 162 |
+
{%- endfor %}
|
| 163 |
+
{%- if add_generation_prompt %}
|
| 164 |
+
{{- '<|im_start|>assistant\n' }}
|
| 165 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 166 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 167 |
+
{%- else %}
|
| 168 |
+
{{- '<think>\n' }}
|
| 169 |
+
{%- endif %}
|
| 170 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,173 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": 248044,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 5120,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 17408,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"linear_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"linear_attention",
|
| 59 |
+
"linear_attention",
|
| 60 |
+
"linear_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"linear_attention",
|
| 63 |
+
"linear_attention",
|
| 64 |
+
"linear_attention",
|
| 65 |
+
"full_attention",
|
| 66 |
+
"linear_attention",
|
| 67 |
+
"linear_attention",
|
| 68 |
+
"linear_attention",
|
| 69 |
+
"full_attention",
|
| 70 |
+
"linear_attention",
|
| 71 |
+
"linear_attention",
|
| 72 |
+
"linear_attention",
|
| 73 |
+
"full_attention",
|
| 74 |
+
"linear_attention",
|
| 75 |
+
"linear_attention",
|
| 76 |
+
"linear_attention",
|
| 77 |
+
"full_attention",
|
| 78 |
+
"linear_attention",
|
| 79 |
+
"linear_attention",
|
| 80 |
+
"linear_attention",
|
| 81 |
+
"full_attention"
|
| 82 |
+
],
|
| 83 |
+
"linear_conv_kernel_dim": 4,
|
| 84 |
+
"linear_key_head_dim": 128,
|
| 85 |
+
"linear_num_key_heads": 16,
|
| 86 |
+
"linear_num_value_heads": 48,
|
| 87 |
+
"linear_value_head_dim": 128,
|
| 88 |
+
"mamba_ssm_dtype": "float32",
|
| 89 |
+
"max_position_embeddings": 262144,
|
| 90 |
+
"model_type": "qwen3_5_text",
|
| 91 |
+
"mtp_num_hidden_layers": 1,
|
| 92 |
+
"mtp_use_dedicated_embeddings": false,
|
| 93 |
+
"num_attention_heads": 24,
|
| 94 |
+
"num_hidden_layers": 64,
|
| 95 |
+
"num_key_value_heads": 4,
|
| 96 |
+
"output_gate_type": "swish",
|
| 97 |
+
"pad_token_id": null,
|
| 98 |
+
"partial_rotary_factor": 0.25,
|
| 99 |
+
"quantization_config": {
|
| 100 |
+
"config_groups": {
|
| 101 |
+
"FP8_BLOCK": {
|
| 102 |
+
"format": "float-quantized",
|
| 103 |
+
"input_activations": {
|
| 104 |
+
"actorder": null,
|
| 105 |
+
"block_structure": null,
|
| 106 |
+
"dynamic": true,
|
| 107 |
+
"group_size": 128,
|
| 108 |
+
"num_bits": 8,
|
| 109 |
+
"observer": null,
|
| 110 |
+
"observer_kwargs": {},
|
| 111 |
+
"scale_dtype": null,
|
| 112 |
+
"strategy": "group",
|
| 113 |
+
"symmetric": true,
|
| 114 |
+
"type": "float",
|
| 115 |
+
"zp_dtype": null
|
| 116 |
+
},
|
| 117 |
+
"output_activations": null,
|
| 118 |
+
"targets": [
|
| 119 |
+
"Linear"
|
| 120 |
+
],
|
| 121 |
+
"weights": {
|
| 122 |
+
"actorder": null,
|
| 123 |
+
"block_structure": [
|
| 124 |
+
128,
|
| 125 |
+
128
|
| 126 |
+
],
|
| 127 |
+
"dynamic": false,
|
| 128 |
+
"group_size": null,
|
| 129 |
+
"num_bits": 8,
|
| 130 |
+
"observer": "memoryless_minmax",
|
| 131 |
+
"observer_kwargs": {},
|
| 132 |
+
"scale_dtype": null,
|
| 133 |
+
"strategy": "block",
|
| 134 |
+
"symmetric": true,
|
| 135 |
+
"type": "float",
|
| 136 |
+
"zp_dtype": null
|
| 137 |
+
}
|
| 138 |
+
}
|
| 139 |
+
},
|
| 140 |
+
"format": "float-quantized",
|
| 141 |
+
"global_compression_ratio": null,
|
| 142 |
+
"ignore": [
|
| 143 |
+
"lm_head",
|
| 144 |
+
"re:.*self_attn.*",
|
| 145 |
+
"re:.*linear_attn.*",
|
| 146 |
+
"re:model.visual.*",
|
| 147 |
+
"re:visual.*",
|
| 148 |
+
"re:.*embed_tokens.*",
|
| 149 |
+
"re:.*mtp.*"
|
| 150 |
+
],
|
| 151 |
+
"kv_cache_scheme": null,
|
| 152 |
+
"quant_method": "compressed-tensors",
|
| 153 |
+
"quantization_status": "compressed",
|
| 154 |
+
"transform_config": {},
|
| 155 |
+
"version": "0.18.0"
|
| 156 |
+
},
|
| 157 |
+
"rms_norm_eps": 1e-06,
|
| 158 |
+
"rope_parameters": {
|
| 159 |
+
"mrope_interleaved": true,
|
| 160 |
+
"mrope_section": [
|
| 161 |
+
11,
|
| 162 |
+
11,
|
| 163 |
+
10
|
| 164 |
+
],
|
| 165 |
+
"partial_rotary_factor": 0.25,
|
| 166 |
+
"rope_theta": 10000000,
|
| 167 |
+
"rope_type": "default"
|
| 168 |
+
},
|
| 169 |
+
"tie_word_embeddings": false,
|
| 170 |
+
"transformers_version": "5.17.0",
|
| 171 |
+
"use_cache": true,
|
| 172 |
+
"vocab_size": 248320
|
| 173 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 248044,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
248046,
|
| 6 |
+
248044
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 248044,
|
| 9 |
+
"temperature": 1.0,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "5.17.0"
|
| 13 |
+
}
|
model-00001-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6866cf8adcccc4cc6a00e74bc025f1a774fb52103b70f2674d0288272951a733
|
| 3 |
+
size 2542796896
|
model-00002-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3a0f6679cfeafbd9e31fc922db771dd14228724da05c3a913760a0824f9b53d2
|
| 3 |
+
size 4040389584
|
model-00003-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:11481cc1c01fa766795bbb81a4011523adaee550094a1e486afd6889bf07840c
|
| 3 |
+
size 3271985216
|
model-00004-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0cbdc2a099a2359deff1404086d63f401bb2ac42e3133b8ff5a6502bfd1da17f
|
| 3 |
+
size 3130458648
|
model-00005-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:9edaf5b73f8722e9666f76467cb7fe8fd6f2c8c599388117138e37c64e3508fe
|
| 3 |
+
size 3292955920
|
model-00006-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:09a59a334c5bf49cb96c6b76a6966193eb3d1fad7dca73aeae4fc418e5b1c419
|
| 3 |
+
size 3130458608
|
model-00007-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:66c46b9cfc18834c49636946b49b35f4a0865aecdfb502f84e1ca17e45f8636e
|
| 3 |
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size 3150342808
|
model-00008-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:2987c891e8ccdf411dcddc94e75da5ba6ba2b12e34ad1b917b249357c2dfc7fd
|
| 3 |
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size 3273071776
|
model-00009-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:fb3bd7a584a6ef11dd3b00cc8c366c58b7fce048e1d52c471a92690ab89d1bc6
|
| 3 |
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size 3270919656
|
model-00010-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:1f27af076f78710224d298725ef6c6a1523f13da1ad622c2fb35f5a6113232a9
|
| 3 |
+
size 3151429168
|
model-00011-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:9b5fdf8f8f08189db9c59b589c20d3ea253b123211ae1aebc596e153031f8a4b
|
| 3 |
+
size 3271985320
|
model-00012-of-00012.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:79036175306fab30a33e9b8a4c70400262f36dcffed39d74e4cdcf1d3311446d
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| 3 |
+
size 1154652696
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model-mtp.safetensors
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:1d8268aa85ace093a561e3e7b63b9d390dac1cd55a90cd55b5ec509c3c9da9fe
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| 3 |
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size 849400392
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model.safetensors.index.json
ADDED
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@@ -0,0 +1,1065 @@
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|
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|
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|
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|
| 1053 |
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|
| 1054 |
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|
| 1055 |
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|
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|
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|
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|
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|
| 1060 |
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|
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|
| 1063 |
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|
| 1064 |
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|
| 1065 |
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}
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tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": true,
|
| 13 |
+
"local_files_only": false,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 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 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null,
|
| 29 |
+
"video_token": "<|video_pad|>",
|
| 30 |
+
"vision_bos_token": "<|vision_start|>",
|
| 31 |
+
"vision_eos_token": "<|vision_end|>"
|
| 32 |
+
}
|