DuoNeural/LFM2.5-8B-A1B-Abliterated

hf DuoNeural/LFM2.5-8B-A1B-Abliterated 2 sources, 6 claims · Watch

What each source says

PropertySourceSaidMeans here
Author
author
GGUF quantisationsDuoNeural
receipt
Source
GGUF quantisations
Its words
DuoNeural
Read by
field:author
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
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—
Author
author
Hugging Face modelsDuoNeural
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Base
base
GGUF quantisationsDuoNeural/LFM2.5-8B-A1B-Abliterated
receipt
Source
GGUF quantisations
Its words
DuoNeural/LFM2.5-8B-A1B-Abliterated
Read by
field:cardData.base_model[]
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
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Source
GGUF quantisations
Its words
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Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
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Its words
284
Read by
field:downloads
Said since
2026-10-04 12:16 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
2026-10-04 12:16 UTC284
2026-10-03 12:09 UTC276
2026-10-02 12:01 UTC248
2026-09-28 11:46 UTC0
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Its words
462
Read by
field:downloads
Said since
2026-10-04 12:16 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
2026-10-04 12:16 UTC462
2026-10-03 12:09 UTC453
2026-10-02 12:01 UTC426
2026-09-29 09:50 UTC0
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Downloads
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605
receipt
Source
GGUF quantisations
Its words
605
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
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—
Downloads
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Hugging Face models227
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

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Downloads
downloads
not compared
243
receipt
Source
Hugging Face models
Its words
243
Read by
field:downloads
Said since
2026-10-04 12:16 UTC
Last answered
2026-10-04 12:21 UTC
Original
open at the source
2026-10-04 12:16 UTC243
2026-10-03 18:10 UTC240
2026-10-03 00:06 UTC237
What the source handed over
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    "model_type": "lfm2_moe",
    "num_experts": 32,
    "num_experts_per_tok": 4,
    "tokenizer_config": {
      "bos_token": "<|startoftext|>",
      "eos_token": "<|im_end|>",
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  "usedStorage": 16953909816,
  "widgetData": [
    {
      "text": "Hi, what can you help me with?"
    },
    {
      "text": "What is 84 * 3 / 2?"
    },
    {
      "text": "Tell me an interesting fact about the universe!"
    },
    {
      "text": "Explain quantum computing in simple terms."
    }
  ]
}
—
Gated
gated
Hugging Face modelsfalse
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Licence
licence
conflict
GGUF quantisationsapache-2.0
receipt
Source
GGUF quantisations
Its words
apache-2.0
Read by
field:cardData.license
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
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}
—
Licence
licence
conflict
other
receipt
Source
GGUF quantisations
Its words
other
Read by
field:cardData.license
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
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—
Licence
licence
conflict
Hugging Face modelsapache-2.0
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Likes
likes
not compared
GGUF quantisations0
receipt
Source
GGUF quantisations
Its words
0
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
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}
—
Likes
likes
not compared
1
receipt
Source
GGUF quantisations
Its words
1
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aba06241f2e996ba110509a",
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}
—
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Hugging Face models1
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

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2
receipt
Source
Hugging Face models
Its words
2
Read by
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Said since
2026-10-03 18:10 UTC
Last answered
2026-10-04 12:21 UTC
Original
open at the source
2026-10-03 18:10 UTC2
2026-10-03 00:06 UTC1
What the source handed over
{
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      "Lfm2MoeForCausalLM"
    ],
    "chat_template_jinja": "{{- bos_token -}}\n{%- set preserve_thinking = preserve_thinking | default(false) -%}\n\n{%- macro format_arg_value(arg_value) -%}\n    {%- if arg_value is string -%}\n        {{- \"'\" + arg_value + \"'\" -}}\n    {%- elif arg_value is mapping -%}\n        {{- arg_value | tojson -}}\n    {%- else -%}\n        {{- arg_value | string -}}\n    {%- endif -%}\n{%- endmacro -%}\n\n{%- macro parse_content(content) -%}\n    {%- if content is string -%}\n        {{- content -}}\n    {%- else -%}\n        {%- set _ns = namespace(result=\"\") -%}\n        {%- for item in content -%}\n            {%- if item[\"type\"] == \"image\" -%}\n                {%- set _ns.result = _ns.result + \"<image>\" -%}\n            {%- elif item[\"type\"] == \"text\" -%}\n                {%- set _ns.result = _ns.result + item[\"text\"] -%}\n            {%- else -%}\n                {%- set _ns.result = _ns.result + item | tojson -%}\n            {%- endif -%}\n        {%- endfor -%}\n        {{- _ns.result -}}\n    {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_calls(tool_calls) -%}\n    {%- set tool_calls_ns = namespace(tool_calls=[]) -%}\n    {%- for tool_call in tool_calls -%}\n        {%- set func_name = tool_call[\"function\"][\"name\"] -%}\n        {%- set func_args = tool_call[\"function\"][\"arguments\"] -%}\n        {%- set args_ns = namespace(arg_strings=[]) -%}\n        {%- for arg_name, arg_value in func_args.items() -%}\n            {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + \"=\" + format_arg_value(arg_value)] -%}\n        {%- endfor -%}\n        {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + \"(\" + (args_ns.arg_strings | join(\", \")) + \")\"] -%}\n    {%- endfor -%}\n    {{- \"<|tool_call_start|>[\" + (tool_calls_ns.tool_calls | join(\", \")) + \"]<|tool_call_end|>\" -}}\n{%- endmacro -%}\n\n{%- set ns = namespace(system_prompt=\"\", last_user_index=-1) -%}\n{%- if messages[0][\"role\"] == \"system\" -%}\n    {%- if messages[0].get(\"content\") -%}\n        {%- set ns.system_prompt = parse_content(messages[0][\"content\"]) -%}\n    {%- endif -%}\n    {%- set messages = messages[1:] -%}\n{%- endif -%}\n{%- if tools -%}\n    {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\n    {%- for tool in tools -%}\n        {%- if tool is not string -%}\n            {%- set tool = tool | tojson -%}\n        {%- endif -%}\n        {%- set ns.system_prompt = ns.system_prompt + tool -%}\n        {%- if not loop.last -%}\n            {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\n        {%- endif -%}\n    {%- endfor -%}\n    {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\n{%- endif -%}\n{%- if ns.system_prompt -%}\n    {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\n{%- endif -%}\n{%- for message in messages -%}\n    {%- if message[\"role\"] == \"user\" -%}\n        {%- set ns.last_user_index = loop.index0 -%}\n    {%- endif -%}\n{%- endfor -%}\n{%- for message in messages -%}\n    {{- \"<|im_start|>\" + message.role + \"\\n\" -}}\n    {%- if message.role == \"assistant\" -%}\n        {%- generation -%}\n        {%- if message.thinking is defined and (preserve_thinking or loop.index0 > ns.last_user_index) -%}\n            {{- \"<think>\" + message.thinking + \"</think>\" -}}\n        {%- endif -%}\n        {%- set _cfm_tag = \"CONTINUE_FINAL_MESSAGE_TAG \" -%}\n        {%- set _has_cfm = false -%}\n        {%- if message.content is defined -%}\n            {%- set content = parse_content(message.content) -%}\n            {%- if not (preserve_thinking or loop.index0 > ns.last_user_index) -%}\n                {%- if \"</think>\" in content -%}\n                    {%- set content = content.split(\"</think>\")[-1] | trim -%}\n                {%- endif -%}\n            {%- endif -%}\n            {%- if message.tool_calls is defined and content.endswith(_cfm_tag) -%}\n                {%- set _has_cfm = true -%}\n                {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}\n                {{- content[:_trunc_len] -}}\n            {%- else -%}\n                {{- content -}}\n            {%- endif -%}\n        {%- endif -%}\n        {%- if message.tool_calls is defined -%}\n            {{- render_tool_calls(message.tool_calls) -}}\n        {%- endif -%}\n        {%- if _has_cfm -%}\n            {{- _cfm_tag -}}\n        {%- endif -%}\n        {{- \"<|im_end|>\\n\" -}}\n        {%- endgeneration -%}\n    {%- else %}\n        {%- if message.get(\"content\") -%}\n            {{- parse_content(message[\"content\"]) -}}\n        {%- endif -%}\n        {{- \"<|im_end|>\\n\" -}}\n    {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n    {{- \"<|im_start|>assistant\\n\" -}}\n{%- endif -%}",
    "model_type": "lfm2_moe",
    "num_experts": 32,
    "num_experts_per_tok": 4,
    "tokenizer_config": {
      "bos_token": "<|startoftext|>",
      "eos_token": "<|im_end|>",
      "pad_token": "<|pad|>",
      "use_default_system_prompt": false
    }
  },
  "createdAt": "2026-05-31T05:20:12.000Z",
  "disabled": false,
  "downloads": 243,
  "gated": false,
  "id": "DuoNeural/LFM2.5-8B-A1B-Abliterated",
  "lastModified": "2026-05-31T09:41:33.000Z",
  "likes": 2,
  "model-index": null,
  "modelId": "DuoNeural/LFM2.5-8B-A1B-Abliterated",
  "pipeline_tag": "text-generation",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 8467856128,
      "F32": 704
    },
    "total": 8467856128
  },
  "sha": "4dd0b75ce0e7b3c07afb47b12612673f63e75a46",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model-00001-of-00004.safetensors"
    },
    {
      "rfilename": "model-00002-of-00004.safetensors"
    },
    {
      "rfilename": "model-00003-of-00004.safetensors"
    },
    {
      "rfilename": "model-00004-of-00004.safetensors"
    },
    {
      "rfilename": "model.safetensors.index.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [],
  "tags": [
    "safetensors",
    "lfm2_moe",
    "abliteration",
    "uncensored",
    "reasoning",
    "liquid-ai",
    "moe",
    "hybrid-attention",
    "duoneural",
    "text-generation",
    "conversational",
    "en",
    "license:apache-2.0",
    "region:us"
  ],
  "usedStorage": 16953909816,
  "widgetData": [
    {
      "text": "Hi, what can you help me with?"
    },
    {
      "text": "What is 84 * 3 / 2?"
    },
    {
      "text": "Tell me an interesting fact about the universe!"
    },
    {
      "text": "Explain quantum computing in simple terms."
    }
  ]
}
—
Task
task
Hugging Face modelstext-generation
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—

model

DuoNeural/LFM2.5-8B-A1B-Abliterated
zetlyn/models-hf · 2026-05-31
author DuoNeural downloads 227 gated false licence apache-2.0 likes 1 task text-generation source
DuoNeural/LFM2.5-8B-A1B-Abliterated
zetlyn/models-hf · 2026-05-31
author DuoNeural downloads 243 gated false licence apache-2.0 likes 2 task text-generation source

quantisation

DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v3-GGUF
zetlyn/models-gguf · 2026-09-18
author DuoNeural base DuoNeural/LFM2.5-8B-A1B-Abliterated downloads 1062 licence other likes 0 source
DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-GGUF
zetlyn/models-gguf · 2026-09-17
author DuoNeural base DuoNeural/LFM2.5-8B-A1B-Abliterated downloads 605 licence other likes 0 source
DuoNeural/LFM2.5-8B-A1B-TAP-DPQ-3.5bpw-GGUF
zetlyn/models-gguf · 2026-09-28
author DuoNeural base DuoNeural/LFM2.5-8B-A1B-Abliterated downloads 284 licence apache-2.0 likes 0 source
DuoNeural/LFM2.5-8B-A1B-TAP-DPQ-2.72bpw-GGUF
zetlyn/models-gguf · 2026-09-28
author DuoNeural base DuoNeural/LFM2.5-8B-A1B-Abliterated downloads 462 licence apache-2.0 likes 1 source