d4rkninja/tanpo-marketing
zetlyn/models-hf model hf d4rkninja/tanpo-marketing known 2026-09-16
https://huggingface.co/d4rkninja/tanpo-marketing
Properties
| author | d4rkninjareceipt
What the source handed over{
"_asked": "d4rkninja/tanpo-marketing",
"_id": "6aaa29e9ceedd411a4f703b9",
"author": "d4rkninja",
"cardData": {
"base_model": "LiquidAI/LFM2.5-1.2B-Instruct",
"datasets": [
"d4rkninja/tanpo-marketing-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_name": "lfm-1.0",
"pipeline_tag": "text-generation",
"tags": [
"marketing",
"text-generation",
"conversational",
"tanpo"
]
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\r\n{%- set keep_past_thinking = keep_past_thinking | default(false) -%}\r\n{%- set ns = namespace(system_prompt=\"\") -%}\r\n{%- if messages[0][\"role\"] == \"system\" -%}\r\n {%- set ns.system_prompt = messages[0][\"content\"] -%}\r\n {%- set messages = messages[1:] -%}\r\n{%- endif -%}\r\n{%- if tools -%}\r\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\r\n {%- for tool in tools -%}\r\n {%- if tool is not string -%}\r\n {%- set tool = tool | tojson -%}\r\n {%- endif -%}\r\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\r\n {%- if not loop.last -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\r\n {%- endif -%}\r\n {%- endfor -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\r\n{%- endif -%}\r\n{%- if ns.system_prompt -%}\r\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\r\n{%- endif -%}\r\n{%- set ns.last_assistant_index = -1 -%}\r\n{%- for message in messages -%}\r\n {%- if message[\"role\"] == \"assistant\" -%}\r\n {%- set ns.last_assistant_index = loop.index0 -%}\r\n {%- endif -%}\r\n{%- endfor -%}\r\n{%- for message in messages -%}\r\n {{- \"<|im_start|>\" + message[\"role\"] + \"\\n\" -}}\r\n {%- set content = message[\"content\"] -%}\r\n {%- if content is not string -%}\r\n {%- set content = content | tojson -%}\r\n {%- endif -%}\r\n {%- if message[\"role\"] == \"assistant\" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}\r\n {%- if \"</think>\" in content -%}\r\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\r\n {%- endif -%}\r\n {%- endif -%}\r\n {{- content + \"<|im_end|>\\n\" -}}\r\n{%- endfor -%}\r\n{%- if add_generation_prompt -%}\r\n {{- \"<|im_start|>assistant\\n\" -}}\r\n{%- endif -%}",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"unk_token": null,
"use_default_system_prompt": false
}
},
"createdAt": "2026-09-16T05:32:25.000Z",
"disabled": false,
"downloads": 2010,
"gated": false,
"id": "d4rkninja/tanpo-marketing",
"lastModified": "2026-09-18T18:10:11.000Z",
"library_name": "transformers",
"likes": 2,
"model-index": null,
"modelId": "d4rkninja/tanpo-marketing",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 1170340608
},
"total": 1170340608
},
"sha": "9947ef53a0cd4bcd3dd26632df333877da11a18f",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/benchmark-categories.png"
},
{
"rfilename": "assets/benchmark-overall.png"
},
{
"rfilename": "assets/tanpo-collection-banner.png"
},
{
"rfilename": "assets/tanpo-collection-cover.png"
},
{
"rfilename": "benchmark-by-category.png"
},
{
"rfilename": "benchmark-overall.png"
},
{
"rfilename": "benchmark-uplift.png"
},
{
"rfilename": "benchmark/SCORECARD.md"
},
{
"rfilename": "benchmark/charts/benchmark-by-category.png"
},
{
"rfilename": "benchmark/charts/benchmark-overall.png"
},
{
"rfilename": "benchmark/charts/benchmark-uplift.png"
},
{
"rfilename": "benchmark/charts/category_scores.png"
},
{
"rfilename": "benchmark/charts/overall_scores.png"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/replies.jsonl"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/scores_v2.json"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/replies.jsonl"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/scores_v2.json"
},
{
"rfilename": "benchmark/score_rubric.md"
},
{
"rfilename": "benchmark/scorecard.json"
},
{
"rfilename": "benchmark/tasks.jsonl"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation/README.md"
},
{
"rfilename": "evaluation/darklab/SCORECARD.md"
},
{
"rfilename": "evaluation/darklab/replies.jsonl"
},
{
"rfilename": "evaluation/darklab/scorecard.json"
},
{
"rfilename": "evaluation/darklab/scores.json"
},
{
"rfilename": "evaluation/marketing_tasks.jsonl"
},
{
"rfilename": "evaluation/score_rubric.md"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"marketing",
"conversational",
"tanpo",
"en",
"dataset:d4rkninja/tanpo-marketing-sft",
"base_model:LiquidAI/LFM2.5-1.2B-Instruct",
"base_model:finetune:LiquidAI/LFM2.5-1.2B-Instruct",
"license:other",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 7025187123,
"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."
}
]
} | ||||||
|---|---|---|---|---|---|---|---|
| downloads | 2010receipt
What the source handed over{
"_asked": "d4rkninja/tanpo-marketing",
"_id": "6aaa29e9ceedd411a4f703b9",
"author": "d4rkninja",
"cardData": {
"base_model": "LiquidAI/LFM2.5-1.2B-Instruct",
"datasets": [
"d4rkninja/tanpo-marketing-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_name": "lfm-1.0",
"pipeline_tag": "text-generation",
"tags": [
"marketing",
"text-generation",
"conversational",
"tanpo"
]
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\r\n{%- set keep_past_thinking = keep_past_thinking | default(false) -%}\r\n{%- set ns = namespace(system_prompt=\"\") -%}\r\n{%- if messages[0][\"role\"] == \"system\" -%}\r\n {%- set ns.system_prompt = messages[0][\"content\"] -%}\r\n {%- set messages = messages[1:] -%}\r\n{%- endif -%}\r\n{%- if tools -%}\r\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\r\n {%- for tool in tools -%}\r\n {%- if tool is not string -%}\r\n {%- set tool = tool | tojson -%}\r\n {%- endif -%}\r\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\r\n {%- if not loop.last -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\r\n {%- endif -%}\r\n {%- endfor -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\r\n{%- endif -%}\r\n{%- if ns.system_prompt -%}\r\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\r\n{%- endif -%}\r\n{%- set ns.last_assistant_index = -1 -%}\r\n{%- for message in messages -%}\r\n {%- if message[\"role\"] == \"assistant\" -%}\r\n {%- set ns.last_assistant_index = loop.index0 -%}\r\n {%- endif -%}\r\n{%- endfor -%}\r\n{%- for message in messages -%}\r\n {{- \"<|im_start|>\" + message[\"role\"] + \"\\n\" -}}\r\n {%- set content = message[\"content\"] -%}\r\n {%- if content is not string -%}\r\n {%- set content = content | tojson -%}\r\n {%- endif -%}\r\n {%- if message[\"role\"] == \"assistant\" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}\r\n {%- if \"</think>\" in content -%}\r\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\r\n {%- endif -%}\r\n {%- endif -%}\r\n {{- content + \"<|im_end|>\\n\" -}}\r\n{%- endfor -%}\r\n{%- if add_generation_prompt -%}\r\n {{- \"<|im_start|>assistant\\n\" -}}\r\n{%- endif -%}",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"unk_token": null,
"use_default_system_prompt": false
}
},
"createdAt": "2026-09-16T05:32:25.000Z",
"disabled": false,
"downloads": 2010,
"gated": false,
"id": "d4rkninja/tanpo-marketing",
"lastModified": "2026-09-18T18:10:11.000Z",
"library_name": "transformers",
"likes": 2,
"model-index": null,
"modelId": "d4rkninja/tanpo-marketing",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 1170340608
},
"total": 1170340608
},
"sha": "9947ef53a0cd4bcd3dd26632df333877da11a18f",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/benchmark-categories.png"
},
{
"rfilename": "assets/benchmark-overall.png"
},
{
"rfilename": "assets/tanpo-collection-banner.png"
},
{
"rfilename": "assets/tanpo-collection-cover.png"
},
{
"rfilename": "benchmark-by-category.png"
},
{
"rfilename": "benchmark-overall.png"
},
{
"rfilename": "benchmark-uplift.png"
},
{
"rfilename": "benchmark/SCORECARD.md"
},
{
"rfilename": "benchmark/charts/benchmark-by-category.png"
},
{
"rfilename": "benchmark/charts/benchmark-overall.png"
},
{
"rfilename": "benchmark/charts/benchmark-uplift.png"
},
{
"rfilename": "benchmark/charts/category_scores.png"
},
{
"rfilename": "benchmark/charts/overall_scores.png"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/replies.jsonl"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/scores_v2.json"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/replies.jsonl"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/scores_v2.json"
},
{
"rfilename": "benchmark/score_rubric.md"
},
{
"rfilename": "benchmark/scorecard.json"
},
{
"rfilename": "benchmark/tasks.jsonl"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation/README.md"
},
{
"rfilename": "evaluation/darklab/SCORECARD.md"
},
{
"rfilename": "evaluation/darklab/replies.jsonl"
},
{
"rfilename": "evaluation/darklab/scorecard.json"
},
{
"rfilename": "evaluation/darklab/scores.json"
},
{
"rfilename": "evaluation/marketing_tasks.jsonl"
},
{
"rfilename": "evaluation/score_rubric.md"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"marketing",
"conversational",
"tanpo",
"en",
"dataset:d4rkninja/tanpo-marketing-sft",
"base_model:LiquidAI/LFM2.5-1.2B-Instruct",
"base_model:finetune:LiquidAI/LFM2.5-1.2B-Instruct",
"license:other",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 7025187123,
"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 | falsereceipt
What the source handed over{
"_asked": "d4rkninja/tanpo-marketing",
"_id": "6aaa29e9ceedd411a4f703b9",
"author": "d4rkninja",
"cardData": {
"base_model": "LiquidAI/LFM2.5-1.2B-Instruct",
"datasets": [
"d4rkninja/tanpo-marketing-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_name": "lfm-1.0",
"pipeline_tag": "text-generation",
"tags": [
"marketing",
"text-generation",
"conversational",
"tanpo"
]
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\r\n{%- set keep_past_thinking = keep_past_thinking | default(false) -%}\r\n{%- set ns = namespace(system_prompt=\"\") -%}\r\n{%- if messages[0][\"role\"] == \"system\" -%}\r\n {%- set ns.system_prompt = messages[0][\"content\"] -%}\r\n {%- set messages = messages[1:] -%}\r\n{%- endif -%}\r\n{%- if tools -%}\r\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\r\n {%- for tool in tools -%}\r\n {%- if tool is not string -%}\r\n {%- set tool = tool | tojson -%}\r\n {%- endif -%}\r\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\r\n {%- if not loop.last -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\r\n {%- endif -%}\r\n {%- endfor -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\r\n{%- endif -%}\r\n{%- if ns.system_prompt -%}\r\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\r\n{%- endif -%}\r\n{%- set ns.last_assistant_index = -1 -%}\r\n{%- for message in messages -%}\r\n {%- if message[\"role\"] == \"assistant\" -%}\r\n {%- set ns.last_assistant_index = loop.index0 -%}\r\n {%- endif -%}\r\n{%- endfor -%}\r\n{%- for message in messages -%}\r\n {{- \"<|im_start|>\" + message[\"role\"] + \"\\n\" -}}\r\n {%- set content = message[\"content\"] -%}\r\n {%- if content is not string -%}\r\n {%- set content = content | tojson -%}\r\n {%- endif -%}\r\n {%- if message[\"role\"] == \"assistant\" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}\r\n {%- if \"</think>\" in content -%}\r\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\r\n {%- endif -%}\r\n {%- endif -%}\r\n {{- content + \"<|im_end|>\\n\" -}}\r\n{%- endfor -%}\r\n{%- if add_generation_prompt -%}\r\n {{- \"<|im_start|>assistant\\n\" -}}\r\n{%- endif -%}",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"unk_token": null,
"use_default_system_prompt": false
}
},
"createdAt": "2026-09-16T05:32:25.000Z",
"disabled": false,
"downloads": 2010,
"gated": false,
"id": "d4rkninja/tanpo-marketing",
"lastModified": "2026-09-18T18:10:11.000Z",
"library_name": "transformers",
"likes": 2,
"model-index": null,
"modelId": "d4rkninja/tanpo-marketing",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 1170340608
},
"total": 1170340608
},
"sha": "9947ef53a0cd4bcd3dd26632df333877da11a18f",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/benchmark-categories.png"
},
{
"rfilename": "assets/benchmark-overall.png"
},
{
"rfilename": "assets/tanpo-collection-banner.png"
},
{
"rfilename": "assets/tanpo-collection-cover.png"
},
{
"rfilename": "benchmark-by-category.png"
},
{
"rfilename": "benchmark-overall.png"
},
{
"rfilename": "benchmark-uplift.png"
},
{
"rfilename": "benchmark/SCORECARD.md"
},
{
"rfilename": "benchmark/charts/benchmark-by-category.png"
},
{
"rfilename": "benchmark/charts/benchmark-overall.png"
},
{
"rfilename": "benchmark/charts/benchmark-uplift.png"
},
{
"rfilename": "benchmark/charts/category_scores.png"
},
{
"rfilename": "benchmark/charts/overall_scores.png"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/replies.jsonl"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/scores_v2.json"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/replies.jsonl"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/scores_v2.json"
},
{
"rfilename": "benchmark/score_rubric.md"
},
{
"rfilename": "benchmark/scorecard.json"
},
{
"rfilename": "benchmark/tasks.jsonl"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation/README.md"
},
{
"rfilename": "evaluation/darklab/SCORECARD.md"
},
{
"rfilename": "evaluation/darklab/replies.jsonl"
},
{
"rfilename": "evaluation/darklab/scorecard.json"
},
{
"rfilename": "evaluation/darklab/scores.json"
},
{
"rfilename": "evaluation/marketing_tasks.jsonl"
},
{
"rfilename": "evaluation/score_rubric.md"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"marketing",
"conversational",
"tanpo",
"en",
"dataset:d4rkninja/tanpo-marketing-sft",
"base_model:LiquidAI/LFM2.5-1.2B-Instruct",
"base_model:finetune:LiquidAI/LFM2.5-1.2B-Instruct",
"license:other",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 7025187123,
"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."
}
]
} | ||||||
| licence | otherreceipt
What the source handed over{
"_asked": "d4rkninja/tanpo-marketing",
"_id": "6aaa29e9ceedd411a4f703b9",
"author": "d4rkninja",
"cardData": {
"base_model": "LiquidAI/LFM2.5-1.2B-Instruct",
"datasets": [
"d4rkninja/tanpo-marketing-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_name": "lfm-1.0",
"pipeline_tag": "text-generation",
"tags": [
"marketing",
"text-generation",
"conversational",
"tanpo"
]
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\r\n{%- set keep_past_thinking = keep_past_thinking | default(false) -%}\r\n{%- set ns = namespace(system_prompt=\"\") -%}\r\n{%- if messages[0][\"role\"] == \"system\" -%}\r\n {%- set ns.system_prompt = messages[0][\"content\"] -%}\r\n {%- set messages = messages[1:] -%}\r\n{%- endif -%}\r\n{%- if tools -%}\r\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\r\n {%- for tool in tools -%}\r\n {%- if tool is not string -%}\r\n {%- set tool = tool | tojson -%}\r\n {%- endif -%}\r\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\r\n {%- if not loop.last -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\r\n {%- endif -%}\r\n {%- endfor -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\r\n{%- endif -%}\r\n{%- if ns.system_prompt -%}\r\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\r\n{%- endif -%}\r\n{%- set ns.last_assistant_index = -1 -%}\r\n{%- for message in messages -%}\r\n {%- if message[\"role\"] == \"assistant\" -%}\r\n {%- set ns.last_assistant_index = loop.index0 -%}\r\n {%- endif -%}\r\n{%- endfor -%}\r\n{%- for message in messages -%}\r\n {{- \"<|im_start|>\" + message[\"role\"] + \"\\n\" -}}\r\n {%- set content = message[\"content\"] -%}\r\n {%- if content is not string -%}\r\n {%- set content = content | tojson -%}\r\n {%- endif -%}\r\n {%- if message[\"role\"] == \"assistant\" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}\r\n {%- if \"</think>\" in content -%}\r\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\r\n {%- endif -%}\r\n {%- endif -%}\r\n {{- content + \"<|im_end|>\\n\" -}}\r\n{%- endfor -%}\r\n{%- if add_generation_prompt -%}\r\n {{- \"<|im_start|>assistant\\n\" -}}\r\n{%- endif -%}",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"unk_token": null,
"use_default_system_prompt": false
}
},
"createdAt": "2026-09-16T05:32:25.000Z",
"disabled": false,
"downloads": 2010,
"gated": false,
"id": "d4rkninja/tanpo-marketing",
"lastModified": "2026-09-18T18:10:11.000Z",
"library_name": "transformers",
"likes": 2,
"model-index": null,
"modelId": "d4rkninja/tanpo-marketing",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 1170340608
},
"total": 1170340608
},
"sha": "9947ef53a0cd4bcd3dd26632df333877da11a18f",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/benchmark-categories.png"
},
{
"rfilename": "assets/benchmark-overall.png"
},
{
"rfilename": "assets/tanpo-collection-banner.png"
},
{
"rfilename": "assets/tanpo-collection-cover.png"
},
{
"rfilename": "benchmark-by-category.png"
},
{
"rfilename": "benchmark-overall.png"
},
{
"rfilename": "benchmark-uplift.png"
},
{
"rfilename": "benchmark/SCORECARD.md"
},
{
"rfilename": "benchmark/charts/benchmark-by-category.png"
},
{
"rfilename": "benchmark/charts/benchmark-overall.png"
},
{
"rfilename": "benchmark/charts/benchmark-uplift.png"
},
{
"rfilename": "benchmark/charts/category_scores.png"
},
{
"rfilename": "benchmark/charts/overall_scores.png"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/replies.jsonl"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/scores_v2.json"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/replies.jsonl"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/scores_v2.json"
},
{
"rfilename": "benchmark/score_rubric.md"
},
{
"rfilename": "benchmark/scorecard.json"
},
{
"rfilename": "benchmark/tasks.jsonl"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation/README.md"
},
{
"rfilename": "evaluation/darklab/SCORECARD.md"
},
{
"rfilename": "evaluation/darklab/replies.jsonl"
},
{
"rfilename": "evaluation/darklab/scorecard.json"
},
{
"rfilename": "evaluation/darklab/scores.json"
},
{
"rfilename": "evaluation/marketing_tasks.jsonl"
},
{
"rfilename": "evaluation/score_rubric.md"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"marketing",
"conversational",
"tanpo",
"en",
"dataset:d4rkninja/tanpo-marketing-sft",
"base_model:LiquidAI/LFM2.5-1.2B-Instruct",
"base_model:finetune:LiquidAI/LFM2.5-1.2B-Instruct",
"license:other",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 7025187123,
"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."
}
]
} | ||||||
| likes | 2receipt
What the source handed over{
"_asked": "d4rkninja/tanpo-marketing",
"_id": "6aaa29e9ceedd411a4f703b9",
"author": "d4rkninja",
"cardData": {
"base_model": "LiquidAI/LFM2.5-1.2B-Instruct",
"datasets": [
"d4rkninja/tanpo-marketing-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_name": "lfm-1.0",
"pipeline_tag": "text-generation",
"tags": [
"marketing",
"text-generation",
"conversational",
"tanpo"
]
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\r\n{%- set keep_past_thinking = keep_past_thinking | default(false) -%}\r\n{%- set ns = namespace(system_prompt=\"\") -%}\r\n{%- if messages[0][\"role\"] == \"system\" -%}\r\n {%- set ns.system_prompt = messages[0][\"content\"] -%}\r\n {%- set messages = messages[1:] -%}\r\n{%- endif -%}\r\n{%- if tools -%}\r\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\r\n {%- for tool in tools -%}\r\n {%- if tool is not string -%}\r\n {%- set tool = tool | tojson -%}\r\n {%- endif -%}\r\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\r\n {%- if not loop.last -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\r\n {%- endif -%}\r\n {%- endfor -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\r\n{%- endif -%}\r\n{%- if ns.system_prompt -%}\r\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\r\n{%- endif -%}\r\n{%- set ns.last_assistant_index = -1 -%}\r\n{%- for message in messages -%}\r\n {%- if message[\"role\"] == \"assistant\" -%}\r\n {%- set ns.last_assistant_index = loop.index0 -%}\r\n {%- endif -%}\r\n{%- endfor -%}\r\n{%- for message in messages -%}\r\n {{- \"<|im_start|>\" + message[\"role\"] + \"\\n\" -}}\r\n {%- set content = message[\"content\"] -%}\r\n {%- if content is not string -%}\r\n {%- set content = content | tojson -%}\r\n {%- endif -%}\r\n {%- if message[\"role\"] == \"assistant\" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}\r\n {%- if \"</think>\" in content -%}\r\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\r\n {%- endif -%}\r\n {%- endif -%}\r\n {{- content + \"<|im_end|>\\n\" -}}\r\n{%- endfor -%}\r\n{%- if add_generation_prompt -%}\r\n {{- \"<|im_start|>assistant\\n\" -}}\r\n{%- endif -%}",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"unk_token": null,
"use_default_system_prompt": false
}
},
"createdAt": "2026-09-16T05:32:25.000Z",
"disabled": false,
"downloads": 2010,
"gated": false,
"id": "d4rkninja/tanpo-marketing",
"lastModified": "2026-09-18T18:10:11.000Z",
"library_name": "transformers",
"likes": 2,
"model-index": null,
"modelId": "d4rkninja/tanpo-marketing",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 1170340608
},
"total": 1170340608
},
"sha": "9947ef53a0cd4bcd3dd26632df333877da11a18f",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/benchmark-categories.png"
},
{
"rfilename": "assets/benchmark-overall.png"
},
{
"rfilename": "assets/tanpo-collection-banner.png"
},
{
"rfilename": "assets/tanpo-collection-cover.png"
},
{
"rfilename": "benchmark-by-category.png"
},
{
"rfilename": "benchmark-overall.png"
},
{
"rfilename": "benchmark-uplift.png"
},
{
"rfilename": "benchmark/SCORECARD.md"
},
{
"rfilename": "benchmark/charts/benchmark-by-category.png"
},
{
"rfilename": "benchmark/charts/benchmark-overall.png"
},
{
"rfilename": "benchmark/charts/benchmark-uplift.png"
},
{
"rfilename": "benchmark/charts/category_scores.png"
},
{
"rfilename": "benchmark/charts/overall_scores.png"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/replies.jsonl"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/scores_v2.json"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/replies.jsonl"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/scores_v2.json"
},
{
"rfilename": "benchmark/score_rubric.md"
},
{
"rfilename": "benchmark/scorecard.json"
},
{
"rfilename": "benchmark/tasks.jsonl"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation/README.md"
},
{
"rfilename": "evaluation/darklab/SCORECARD.md"
},
{
"rfilename": "evaluation/darklab/replies.jsonl"
},
{
"rfilename": "evaluation/darklab/scorecard.json"
},
{
"rfilename": "evaluation/darklab/scores.json"
},
{
"rfilename": "evaluation/marketing_tasks.jsonl"
},
{
"rfilename": "evaluation/score_rubric.md"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"marketing",
"conversational",
"tanpo",
"en",
"dataset:d4rkninja/tanpo-marketing-sft",
"base_model:LiquidAI/LFM2.5-1.2B-Instruct",
"base_model:finetune:LiquidAI/LFM2.5-1.2B-Instruct",
"license:other",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 7025187123,
"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 | text-generationreceipt
What the source handed over{
"_asked": "d4rkninja/tanpo-marketing",
"_id": "6aaa29e9ceedd411a4f703b9",
"author": "d4rkninja",
"cardData": {
"base_model": "LiquidAI/LFM2.5-1.2B-Instruct",
"datasets": [
"d4rkninja/tanpo-marketing-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_name": "lfm-1.0",
"pipeline_tag": "text-generation",
"tags": [
"marketing",
"text-generation",
"conversational",
"tanpo"
]
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\r\n{%- set keep_past_thinking = keep_past_thinking | default(false) -%}\r\n{%- set ns = namespace(system_prompt=\"\") -%}\r\n{%- if messages[0][\"role\"] == \"system\" -%}\r\n {%- set ns.system_prompt = messages[0][\"content\"] -%}\r\n {%- set messages = messages[1:] -%}\r\n{%- endif -%}\r\n{%- if tools -%}\r\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\r\n {%- for tool in tools -%}\r\n {%- if tool is not string -%}\r\n {%- set tool = tool | tojson -%}\r\n {%- endif -%}\r\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\r\n {%- if not loop.last -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\r\n {%- endif -%}\r\n {%- endfor -%}\r\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\r\n{%- endif -%}\r\n{%- if ns.system_prompt -%}\r\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\r\n{%- endif -%}\r\n{%- set ns.last_assistant_index = -1 -%}\r\n{%- for message in messages -%}\r\n {%- if message[\"role\"] == \"assistant\" -%}\r\n {%- set ns.last_assistant_index = loop.index0 -%}\r\n {%- endif -%}\r\n{%- endfor -%}\r\n{%- for message in messages -%}\r\n {{- \"<|im_start|>\" + message[\"role\"] + \"\\n\" -}}\r\n {%- set content = message[\"content\"] -%}\r\n {%- if content is not string -%}\r\n {%- set content = content | tojson -%}\r\n {%- endif -%}\r\n {%- if message[\"role\"] == \"assistant\" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}\r\n {%- if \"</think>\" in content -%}\r\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\r\n {%- endif -%}\r\n {%- endif -%}\r\n {{- content + \"<|im_end|>\\n\" -}}\r\n{%- endfor -%}\r\n{%- if add_generation_prompt -%}\r\n {{- \"<|im_start|>assistant\\n\" -}}\r\n{%- endif -%}",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"unk_token": null,
"use_default_system_prompt": false
}
},
"createdAt": "2026-09-16T05:32:25.000Z",
"disabled": false,
"downloads": 2010,
"gated": false,
"id": "d4rkninja/tanpo-marketing",
"lastModified": "2026-09-18T18:10:11.000Z",
"library_name": "transformers",
"likes": 2,
"model-index": null,
"modelId": "d4rkninja/tanpo-marketing",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 1170340608
},
"total": 1170340608
},
"sha": "9947ef53a0cd4bcd3dd26632df333877da11a18f",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/benchmark-categories.png"
},
{
"rfilename": "assets/benchmark-overall.png"
},
{
"rfilename": "assets/tanpo-collection-banner.png"
},
{
"rfilename": "assets/tanpo-collection-cover.png"
},
{
"rfilename": "benchmark-by-category.png"
},
{
"rfilename": "benchmark-overall.png"
},
{
"rfilename": "benchmark-uplift.png"
},
{
"rfilename": "benchmark/SCORECARD.md"
},
{
"rfilename": "benchmark/charts/benchmark-by-category.png"
},
{
"rfilename": "benchmark/charts/benchmark-overall.png"
},
{
"rfilename": "benchmark/charts/benchmark-uplift.png"
},
{
"rfilename": "benchmark/charts/category_scores.png"
},
{
"rfilename": "benchmark/charts/overall_scores.png"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/replies.jsonl"
},
{
"rfilename": "benchmark/results/d4rkninja__tanpo-marketing/scores_v2.json"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/replies.jsonl"
},
{
"rfilename": "benchmark/results/unsloth__LFM2.5-1.2B-Instruct/scores_v2.json"
},
{
"rfilename": "benchmark/score_rubric.md"
},
{
"rfilename": "benchmark/scorecard.json"
},
{
"rfilename": "benchmark/tasks.jsonl"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "evaluation/README.md"
},
{
"rfilename": "evaluation/darklab/SCORECARD.md"
},
{
"rfilename": "evaluation/darklab/replies.jsonl"
},
{
"rfilename": "evaluation/darklab/scorecard.json"
},
{
"rfilename": "evaluation/darklab/scores.json"
},
{
"rfilename": "evaluation/marketing_tasks.jsonl"
},
{
"rfilename": "evaluation/score_rubric.md"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"marketing",
"conversational",
"tanpo",
"en",
"dataset:d4rkninja/tanpo-marketing-sft",
"base_model:LiquidAI/LFM2.5-1.2B-Instruct",
"base_model:finetune:LiquidAI/LFM2.5-1.2B-Instruct",
"license:other",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 7025187123,
"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."
}
]
} |
Text
This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/d4rkninja/tanpo-marketing.