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Browse files- LICENSE +41 -0
- README.md +91 -0
- chat_template.jinja +64 -0
- config.json +391 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.safetensors +3 -0
- model.safetensors.index.json +954 -0
- tokenizer.json +0 -0
- tokenizer_config.json +21 -0
LICENSE
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LICENSE TEXT
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LFM Open License v1.0
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TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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1. Definitions.
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"License" shall mean the terms and conditions for use, reproduction, and distribution as defined by this document.
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"Licensor" shall mean Liquid AI, Inc.
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"Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity.
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"You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License.
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"Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files.
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"Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types.
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"Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work.
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"Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof.
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"Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution."
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"Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work.
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"Commercial Use" shall mean any use of the Work for direct or indirect commercial advantage or monetary compensation.
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"Non-Commercial or Research Purposes" shall mean purposes that do not involve any use of the Work or a Derivative Work for Commercial Use.
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"Threshold" shall mean annual revenue of 10 million United States dollars ($10,000,000) or more.
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2. Grant of Copyright License. Subject to the terms and conditions of this License, including the Commercial Use limitation set forth in Section 5, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form.
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3. Grant of Patent License. Subject to the terms and conditions of this License, including the Commercial Use limitation set forth in Section 5, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed.
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11. Termination. This License will terminate automatically and immediately if You fail to comply with any of its terms and conditions. Upon termination, You must cease all use of the Work and any Derivative Works and delete all copies in Your possession.
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END OF TERMS AND CONDITIONS
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README.md
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---
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library_name: mlx
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license: other
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license_name: lfm1.0
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| 5 |
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license_link: LICENSE
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| 6 |
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- liquid
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- lfm2
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- moe
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- mlx
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base_model: LiquidAI/LFM2-24B-A2B-Preview
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---
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<div align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" alt="Liquid AI" style="width: 100%; max-width: 100%;">
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| 19 |
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<p>
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| 21 |
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<a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> •
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| 22 |
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<a href="https://docs.liquid.ai/lfm"><strong>Documentation</strong></a> •
|
| 23 |
+
<a href="https://leap.liquid.ai/"><strong>LEAP</strong></a> •
|
| 24 |
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<a href="https://www.liquid.ai/blog/"><strong>Blog</strong></a>
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| 25 |
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</p>
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</div>
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# LFM2-24B-A2B-MLX-8bit
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MLX export of [LFM2-24B-A2B-Preview](https://huggingface.co/LiquidAI/LFM2-24B-A2B-Preview) for Apple Silicon inference.
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| 31 |
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## Model Details
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| 33 |
+
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| Property | Value |
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| 35 |
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|----------|-------|
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| 36 |
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| Total Parameters | 24B |
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| 37 |
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| Active Parameters | ~2B per token |
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| Architecture | Mixture of Experts (64 experts, top-4) |
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| Layers | 40 (30 conv + 10 full attention) |
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| Precision | 8-bit |
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| Group Size | 64 |
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| Size | 23.6 GB |
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| 43 |
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| Context Length | 128K |
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| 44 |
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## Recommended Sampling Parameters
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| 46 |
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| 47 |
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| Parameter | Value |
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| 48 |
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|-----------|-------|
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| 49 |
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| temperature | 0.1 |
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| 50 |
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| top_k | 50 |
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| 51 |
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| top_p | 0.1 |
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| 52 |
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| repetition_penalty | 1.05 |
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| 53 |
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| max_tokens | 512 |
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| 54 |
+
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| 55 |
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## Use with mlx
|
| 56 |
+
|
| 57 |
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```bash
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| 58 |
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pip install mlx-lm
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| 59 |
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```
|
| 60 |
+
|
| 61 |
+
```python
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| 62 |
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from mlx_lm import load, generate
|
| 63 |
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from mlx_lm.sample_utils import make_sampler, make_logits_processors
|
| 64 |
+
|
| 65 |
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model, tokenizer = load("LiquidAI/LFM2-24B-A2B-MLX-8bit")
|
| 66 |
+
|
| 67 |
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prompt = "What is the capital of France?"
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| 68 |
+
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| 69 |
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if tokenizer.chat_template is not None:
|
| 70 |
+
messages = [{"role": "user", "content": prompt}]
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| 71 |
+
prompt = tokenizer.apply_chat_template(
|
| 72 |
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messages, tokenize=False, add_generation_prompt=True
|
| 73 |
+
)
|
| 74 |
+
|
| 75 |
+
sampler = make_sampler(temp=0.1, top_k=50, top_p=0.1)
|
| 76 |
+
logits_processors = make_logits_processors(repetition_penalty=1.05)
|
| 77 |
+
|
| 78 |
+
response = generate(
|
| 79 |
+
model,
|
| 80 |
+
tokenizer,
|
| 81 |
+
prompt=prompt,
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| 82 |
+
max_tokens=512,
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| 83 |
+
sampler=sampler,
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| 84 |
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logits_processors=logits_processors,
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| 85 |
+
verbose=True,
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| 86 |
+
)
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| 87 |
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```
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| 88 |
+
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| 89 |
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## License
|
| 90 |
+
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| 91 |
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This model is released under the [LFM 1.0 License](LICENSE).
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chat_template.jinja
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{{- bos_token -}}
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| 2 |
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{%- set keep_past_thinking = keep_past_thinking | default(false) -%}
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| 3 |
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{%- set ns = namespace(system_prompt="") -%}
|
| 4 |
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{%- if messages[0]["role"] == "system" -%}
|
| 5 |
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{%- set sys_content = messages[0]["content"] -%}
|
| 6 |
+
{%- if sys_content is not string -%}
|
| 7 |
+
{%- for item in sys_content -%}
|
| 8 |
+
{%- if item["type"] == "text" -%}
|
| 9 |
+
{%- set ns.system_prompt = ns.system_prompt + item["text"] -%}
|
| 10 |
+
{%- endif -%}
|
| 11 |
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{%- endfor -%}
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| 12 |
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{%- else -%}
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| 13 |
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{%- set ns.system_prompt = sys_content -%}
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| 14 |
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{%- endif -%}
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| 15 |
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{%- set messages = messages[1:] -%}
|
| 16 |
+
{%- endif -%}
|
| 17 |
+
{%- if tools -%}
|
| 18 |
+
{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
|
| 19 |
+
{%- for tool in tools -%}
|
| 20 |
+
{%- if tool is not string -%}
|
| 21 |
+
{%- set tool = tool | tojson -%}
|
| 22 |
+
{%- endif -%}
|
| 23 |
+
{%- set ns.system_prompt = ns.system_prompt + tool -%}
|
| 24 |
+
{%- if not loop.last -%}
|
| 25 |
+
{%- set ns.system_prompt = ns.system_prompt + ", " -%}
|
| 26 |
+
{%- endif -%}
|
| 27 |
+
{%- endfor -%}
|
| 28 |
+
{%- set ns.system_prompt = ns.system_prompt + "]" -%}
|
| 29 |
+
{%- endif -%}
|
| 30 |
+
{%- if ns.system_prompt -%}
|
| 31 |
+
{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
|
| 32 |
+
{%- endif -%}
|
| 33 |
+
{%- set ns.last_assistant_index = -1 -%}
|
| 34 |
+
{%- for message in messages -%}
|
| 35 |
+
{%- if message["role"] == "assistant" -%}
|
| 36 |
+
{%- set ns.last_assistant_index = loop.index0 -%}
|
| 37 |
+
{%- endif -%}
|
| 38 |
+
{%- endfor -%}
|
| 39 |
+
{%- for message in messages -%}
|
| 40 |
+
{{- "<|im_start|>" + message["role"] + "\n" -}}
|
| 41 |
+
{%- set content = message["content"] -%}
|
| 42 |
+
{%- if content is not string -%}
|
| 43 |
+
{%- set ns.content = "" -%}
|
| 44 |
+
{%- for item in content -%}
|
| 45 |
+
{%- if item["type"] == "image" -%}
|
| 46 |
+
{%- set ns.content = ns.content + "<image>" -%}
|
| 47 |
+
{%- elif item["type"] == "text" -%}
|
| 48 |
+
{%- set ns.content = ns.content + item["text"] -%}
|
| 49 |
+
{%- else -%}
|
| 50 |
+
{%- set ns.content = ns.content + item | tojson -%}
|
| 51 |
+
{%- endif -%}
|
| 52 |
+
{%- endfor -%}
|
| 53 |
+
{%- set content = ns.content -%}
|
| 54 |
+
{%- endif -%}
|
| 55 |
+
{%- if message["role"] == "assistant" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}
|
| 56 |
+
{%- if "</think>" in content -%}
|
| 57 |
+
{%- set content = content.split("</think>")[-1] | trim -%}
|
| 58 |
+
{%- endif -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
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{{- content + "<|im_end|>\n" -}}
|
| 61 |
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{%- endfor -%}
|
| 62 |
+
{%- if add_generation_prompt -%}
|
| 63 |
+
{{- "<|im_start|>assistant\n" -}}
|
| 64 |
+
{%- endif -%}
|
config.json
ADDED
|
@@ -0,0 +1,391 @@
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Lfm2MoeForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"bos_token_id": 1,
|
| 6 |
+
"conv_L_cache": 3,
|
| 7 |
+
"conv_bias": false,
|
| 8 |
+
"dtype": "bfloat16",
|
| 9 |
+
"eos_token_id": 7,
|
| 10 |
+
"hidden_size": 2048,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 11776,
|
| 13 |
+
"layer_types": [
|
| 14 |
+
"conv",
|
| 15 |
+
"conv",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"conv",
|
| 18 |
+
"conv",
|
| 19 |
+
"conv",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"conv",
|
| 22 |
+
"conv",
|
| 23 |
+
"conv",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"conv",
|
| 26 |
+
"conv",
|
| 27 |
+
"conv",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"conv",
|
| 30 |
+
"conv",
|
| 31 |
+
"conv",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"conv",
|
| 34 |
+
"conv",
|
| 35 |
+
"conv",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"conv",
|
| 38 |
+
"conv",
|
| 39 |
+
"conv",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"conv",
|
| 42 |
+
"conv",
|
| 43 |
+
"conv",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"conv",
|
| 46 |
+
"conv",
|
| 47 |
+
"conv",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"conv",
|
| 50 |
+
"conv",
|
| 51 |
+
"conv",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"conv"
|
| 54 |
+
],
|
| 55 |
+
"max_position_embeddings": 128000,
|
| 56 |
+
"model_type": "lfm2_moe",
|
| 57 |
+
"moe_intermediate_size": 1536,
|
| 58 |
+
"norm_eps": 1e-05,
|
| 59 |
+
"norm_topk_prob": true,
|
| 60 |
+
"num_attention_heads": 32,
|
| 61 |
+
"num_dense_layers": 2,
|
| 62 |
+
"num_experts": 64,
|
| 63 |
+
"num_experts_per_tok": 4,
|
| 64 |
+
"num_hidden_layers": 40,
|
| 65 |
+
"num_key_value_heads": 8,
|
| 66 |
+
"pad_token_id": 0,
|
| 67 |
+
"quantization": {
|
| 68 |
+
"group_size": 64,
|
| 69 |
+
"bits": 8,
|
| 70 |
+
"mode": "affine",
|
| 71 |
+
"model.layers.2.feed_forward.gate": {
|
| 72 |
+
"group_size": 64,
|
| 73 |
+
"bits": 8
|
| 74 |
+
},
|
| 75 |
+
"model.layers.3.feed_forward.gate": {
|
| 76 |
+
"group_size": 64,
|
| 77 |
+
"bits": 8
|
| 78 |
+
},
|
| 79 |
+
"model.layers.4.feed_forward.gate": {
|
| 80 |
+
"group_size": 64,
|
| 81 |
+
"bits": 8
|
| 82 |
+
},
|
| 83 |
+
"model.layers.5.feed_forward.gate": {
|
| 84 |
+
"group_size": 64,
|
| 85 |
+
"bits": 8
|
| 86 |
+
},
|
| 87 |
+
"model.layers.6.feed_forward.gate": {
|
| 88 |
+
"group_size": 64,
|
| 89 |
+
"bits": 8
|
| 90 |
+
},
|
| 91 |
+
"model.layers.7.feed_forward.gate": {
|
| 92 |
+
"group_size": 64,
|
| 93 |
+
"bits": 8
|
| 94 |
+
},
|
| 95 |
+
"model.layers.8.feed_forward.gate": {
|
| 96 |
+
"group_size": 64,
|
| 97 |
+
"bits": 8
|
| 98 |
+
},
|
| 99 |
+
"model.layers.9.feed_forward.gate": {
|
| 100 |
+
"group_size": 64,
|
| 101 |
+
"bits": 8
|
| 102 |
+
},
|
| 103 |
+
"model.layers.10.feed_forward.gate": {
|
| 104 |
+
"group_size": 64,
|
| 105 |
+
"bits": 8
|
| 106 |
+
},
|
| 107 |
+
"model.layers.11.feed_forward.gate": {
|
| 108 |
+
"group_size": 64,
|
| 109 |
+
"bits": 8
|
| 110 |
+
},
|
| 111 |
+
"model.layers.12.feed_forward.gate": {
|
| 112 |
+
"group_size": 64,
|
| 113 |
+
"bits": 8
|
| 114 |
+
},
|
| 115 |
+
"model.layers.13.feed_forward.gate": {
|
| 116 |
+
"group_size": 64,
|
| 117 |
+
"bits": 8
|
| 118 |
+
},
|
| 119 |
+
"model.layers.14.feed_forward.gate": {
|
| 120 |
+
"group_size": 64,
|
| 121 |
+
"bits": 8
|
| 122 |
+
},
|
| 123 |
+
"model.layers.15.feed_forward.gate": {
|
| 124 |
+
"group_size": 64,
|
| 125 |
+
"bits": 8
|
| 126 |
+
},
|
| 127 |
+
"model.layers.16.feed_forward.gate": {
|
| 128 |
+
"group_size": 64,
|
| 129 |
+
"bits": 8
|
| 130 |
+
},
|
| 131 |
+
"model.layers.17.feed_forward.gate": {
|
| 132 |
+
"group_size": 64,
|
| 133 |
+
"bits": 8
|
| 134 |
+
},
|
| 135 |
+
"model.layers.18.feed_forward.gate": {
|
| 136 |
+
"group_size": 64,
|
| 137 |
+
"bits": 8
|
| 138 |
+
},
|
| 139 |
+
"model.layers.19.feed_forward.gate": {
|
| 140 |
+
"group_size": 64,
|
| 141 |
+
"bits": 8
|
| 142 |
+
},
|
| 143 |
+
"model.layers.20.feed_forward.gate": {
|
| 144 |
+
"group_size": 64,
|
| 145 |
+
"bits": 8
|
| 146 |
+
},
|
| 147 |
+
"model.layers.21.feed_forward.gate": {
|
| 148 |
+
"group_size": 64,
|
| 149 |
+
"bits": 8
|
| 150 |
+
},
|
| 151 |
+
"model.layers.22.feed_forward.gate": {
|
| 152 |
+
"group_size": 64,
|
| 153 |
+
"bits": 8
|
| 154 |
+
},
|
| 155 |
+
"model.layers.23.feed_forward.gate": {
|
| 156 |
+
"group_size": 64,
|
| 157 |
+
"bits": 8
|
| 158 |
+
},
|
| 159 |
+
"model.layers.24.feed_forward.gate": {
|
| 160 |
+
"group_size": 64,
|
| 161 |
+
"bits": 8
|
| 162 |
+
},
|
| 163 |
+
"model.layers.25.feed_forward.gate": {
|
| 164 |
+
"group_size": 64,
|
| 165 |
+
"bits": 8
|
| 166 |
+
},
|
| 167 |
+
"model.layers.26.feed_forward.gate": {
|
| 168 |
+
"group_size": 64,
|
| 169 |
+
"bits": 8
|
| 170 |
+
},
|
| 171 |
+
"model.layers.27.feed_forward.gate": {
|
| 172 |
+
"group_size": 64,
|
| 173 |
+
"bits": 8
|
| 174 |
+
},
|
| 175 |
+
"model.layers.28.feed_forward.gate": {
|
| 176 |
+
"group_size": 64,
|
| 177 |
+
"bits": 8
|
| 178 |
+
},
|
| 179 |
+
"model.layers.29.feed_forward.gate": {
|
| 180 |
+
"group_size": 64,
|
| 181 |
+
"bits": 8
|
| 182 |
+
},
|
| 183 |
+
"model.layers.30.feed_forward.gate": {
|
| 184 |
+
"group_size": 64,
|
| 185 |
+
"bits": 8
|
| 186 |
+
},
|
| 187 |
+
"model.layers.31.feed_forward.gate": {
|
| 188 |
+
"group_size": 64,
|
| 189 |
+
"bits": 8
|
| 190 |
+
},
|
| 191 |
+
"model.layers.32.feed_forward.gate": {
|
| 192 |
+
"group_size": 64,
|
| 193 |
+
"bits": 8
|
| 194 |
+
},
|
| 195 |
+
"model.layers.33.feed_forward.gate": {
|
| 196 |
+
"group_size": 64,
|
| 197 |
+
"bits": 8
|
| 198 |
+
},
|
| 199 |
+
"model.layers.34.feed_forward.gate": {
|
| 200 |
+
"group_size": 64,
|
| 201 |
+
"bits": 8
|
| 202 |
+
},
|
| 203 |
+
"model.layers.35.feed_forward.gate": {
|
| 204 |
+
"group_size": 64,
|
| 205 |
+
"bits": 8
|
| 206 |
+
},
|
| 207 |
+
"model.layers.36.feed_forward.gate": {
|
| 208 |
+
"group_size": 64,
|
| 209 |
+
"bits": 8
|
| 210 |
+
},
|
| 211 |
+
"model.layers.37.feed_forward.gate": {
|
| 212 |
+
"group_size": 64,
|
| 213 |
+
"bits": 8
|
| 214 |
+
},
|
| 215 |
+
"model.layers.38.feed_forward.gate": {
|
| 216 |
+
"group_size": 64,
|
| 217 |
+
"bits": 8
|
| 218 |
+
},
|
| 219 |
+
"model.layers.39.feed_forward.gate": {
|
| 220 |
+
"group_size": 64,
|
| 221 |
+
"bits": 8
|
| 222 |
+
}
|
| 223 |
+
},
|
| 224 |
+
"quantization_config": {
|
| 225 |
+
"group_size": 64,
|
| 226 |
+
"bits": 8,
|
| 227 |
+
"mode": "affine",
|
| 228 |
+
"model.layers.2.feed_forward.gate": {
|
| 229 |
+
"group_size": 64,
|
| 230 |
+
"bits": 8
|
| 231 |
+
},
|
| 232 |
+
"model.layers.3.feed_forward.gate": {
|
| 233 |
+
"group_size": 64,
|
| 234 |
+
"bits": 8
|
| 235 |
+
},
|
| 236 |
+
"model.layers.4.feed_forward.gate": {
|
| 237 |
+
"group_size": 64,
|
| 238 |
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|
| 950 |
+
"model.layers.9.feed_forward.switch_mlp.up_proj.weight": "model-00002-of-00005.safetensors",
|
| 951 |
+
"model.layers.9.ffn_norm.weight": "model-00002-of-00005.safetensors",
|
| 952 |
+
"model.layers.9.operator_norm.weight": "model-00002-of-00005.safetensors"
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| 953 |
+
}
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| 954 |
+
}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|startoftext|>",
|
| 4 |
+
"clean_up_tokenization_spaces": false,
|
| 5 |
+
"eos_token": "<|im_end|>",
|
| 6 |
+
"extra_special_tokens": [],
|
| 7 |
+
"is_local": true,
|
| 8 |
+
"legacy": false,
|
| 9 |
+
"model_input_names": [
|
| 10 |
+
"input_ids",
|
| 11 |
+
"attention_mask"
|
| 12 |
+
],
|
| 13 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 14 |
+
"model_specific_special_tokens": {},
|
| 15 |
+
"pad_token": "<|pad|>",
|
| 16 |
+
"sp_model_kwargs": {},
|
| 17 |
+
"spaces_between_special_tokens": false,
|
| 18 |
+
"tokenizer_class": "TokenizersBackend",
|
| 19 |
+
"use_default_system_prompt": false,
|
| 20 |
+
"use_fast": true
|
| 21 |
+
}
|