MiscSubjects

Collection

Meta

9 model catalog entries

Meta: Llama Guard 4 12B
MetaLlama Guard 4 12B
meta-llama/llama-guard-4-12b
2025-04-30text+image->textknows up to 2024-08-31
Input
$0.18
per 1M tokens
Output
$0.18
per 1M tokens
Context
164K
tokens it reads
Max output
16K
tokens it writes
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
inspect — the catalog entry
{
  "id": "meta-llama/llama-guard-4-12b",
  "canonical_slug": "meta-llama/llama-guard-4-12b",
  "hugging_face_id": "meta-llama/Llama-Guard-4-12B",
  "name": "Meta: Llama Guard 4 12B",
  "created": 1745975193,
  "description": "Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...",
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    "tokenizer": "Other",
    "instruct_type": null
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  "knowledge_cutoff": "2024-08-31",
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    "details": "/api/v1/models/meta-llama/llama-guard-4-12b/endpoints"
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  "benchmarks": null,
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}
Meta: Llama 4 Maverick
MetaLlama 4 Maverick
meta-llama/llama-4-maverick
2025-04-05text+image->textknows up to 2024-08-31
Coding index
16.3
Artificial Analysis
Agentic index
0.6
Artificial Analysis
Design Arena
898 Elo · #124
3d · 40.2% wins
Input
$0.19
per 1M tokens
Output
$0.65
per 1M tokens
Cached input
$0.05
per 1M tokens
Context
524K
tokens it reads
Max output
16K
tokens it writes
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
inspect — the catalog entry
{
  "id": "meta-llama/llama-4-maverick",
  "canonical_slug": "meta-llama/llama-4-maverick-17b-128e-instruct",
  "hugging_face_id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct",
  "name": "Meta: Llama 4 Maverick",
  "created": 1743881822,
  "description": "Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...",
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    "details": "/api/v1/models/meta-llama/llama-4-maverick-17b-128e-instruct/endpoints"
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  "benchmarks": {
    "design_arena": [
      {
        "arena": "models",
        "category": "3d",
        "elo": 898,
        "win_rate": 40.2,
        "rank": 124
      },
      {
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        "category": "codecategories",
        "elo": 878,
        "win_rate": 35.8,
        "rank": 139
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        "category": "dataviz",
        "elo": 882,
        "win_rate": 38.4,
        "rank": 131
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        "elo": 836,
        "win_rate": 33.7,
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        "elo": 894,
        "win_rate": 40.8,
        "rank": 132
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        "elo": 869,
        "win_rate": 34.4,
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}
Meta: Llama 4 Scout
MetaLlama 4 Scout
meta-llama/llama-4-scout
2025-04-05text+image->textknows up to 2024-08-31
Coding index
8.2
Artificial Analysis
Agentic index
0.5
Artificial Analysis
Design Arena
896 Elo · #129
dataviz · 39.3% wins
Input
$0.10
per 1M tokens
Output
$0.30
per 1M tokens
Context
1.3M
tokens it reads
Max output
16K
tokens it writes
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
inspect — the catalog entry
{
  "id": "meta-llama/llama-4-scout",
  "canonical_slug": "meta-llama/llama-4-scout-17b-16e-instruct",
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  "name": "Meta: Llama 4 Scout",
  "created": 1743881519,
  "description": "Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...",
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    "tokenizer": "Llama4",
    "instruct_type": null
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  "knowledge_cutoff": "2024-08-31",
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    "details": "/api/v1/models/meta-llama/llama-4-scout-17b-16e-instruct/endpoints"
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  "benchmarks": {
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        "category": "codecategories",
        "elo": 788,
        "win_rate": 26.6,
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        "elo": 896,
        "win_rate": 39.3,
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        "elo": 773,
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        "rank": 141
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        "elo": 762,
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        "rank": 136
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        "elo": 750,
        "win_rate": 22.7,
        "rank": 148
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}
Meta: Llama 3.3 70B Instruct
MetaLlama 3.3 70B Instruct
meta-llama/llama-3.3-70b-instruct
2024-12-06text->textknows up to 2023-12-31
Coding index
11.9
Artificial Analysis
Input
$0.10
per 1M tokens
Output
$0.32
per 1M tokens
Context
131K
tokens it reads
Max output
16K
tokens it writes
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
inspect — the catalog entry
{
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  "canonical_slug": "meta-llama/llama-3.3-70b-instruct",
  "hugging_face_id": "meta-llama/Llama-3.3-70B-Instruct",
  "name": "Meta: Llama 3.3 70B Instruct",
  "created": 1733506137,
  "description": "The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...",
  "context_length": 131072,
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    "tokenizer": "Llama3",
    "instruct_type": "llama3"
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}
Meta: Llama 3.2 1B Instruct
MetaLlama 3.2 1B Instruct
meta-llama/llama-3.2-1b-instruct
2024-09-25text->textknows up to 2023-12-31
Input
$0.03
per 1M tokens
Output
$0.20
per 1M tokens
Context
60K
tokens it reads
Max output
54K
tokens it writes
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
inspect — the catalog entry
{
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  "hugging_face_id": "meta-llama/Llama-3.2-1B-Instruct",
  "name": "Meta: Llama 3.2 1B Instruct",
  "created": 1727222400,
  "description": "Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...",
  "context_length": 60000,
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    "instruct_type": "llama3"
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  "pricing": {
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  "default_parameters": {},
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  "benchmarks": null,
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}
Meta: Llama 3.2 3B Instruct
MetaLlama 3.2 3B Instruct
meta-llama/llama-3.2-3b-instruct
2024-09-25text->textknows up to 2023-12-31
Input
$0.05
per 1M tokens
Output
$0.34
per 1M tokens
Context
131K
tokens it reads
Max output
72K
tokens it writes
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
inspect — the catalog entry
{
  "id": "meta-llama/llama-3.2-3b-instruct",
  "canonical_slug": "meta-llama/llama-3.2-3b-instruct",
  "hugging_face_id": "meta-llama/Llama-3.2-3B-Instruct",
  "name": "Meta: Llama 3.2 3B Instruct",
  "created": 1727222400,
  "description": "Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...",
  "context_length": 131072,
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  "pricing": {
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}
Meta: Llama 3.1 70B Instruct
MetaLlama 3.1 70B Instruct
meta-llama/llama-3.1-70b-instruct
2024-07-23text->textknows up to 2023-12-31
Input
$0.72
per 1M tokens
Output
$0.72
per 1M tokens
Context
131K
tokens it reads
Max output
8K
tokens it writes
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
inspect — the catalog entry
{
  "id": "meta-llama/llama-3.1-70b-instruct",
  "canonical_slug": "meta-llama/llama-3.1-70b-instruct",
  "hugging_face_id": "meta-llama/Meta-Llama-3.1-70B-Instruct",
  "name": "Meta: Llama 3.1 70B Instruct",
  "created": 1721692800,
  "description": "Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...",
  "context_length": 131072,
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}
Meta: Llama 3.1 8B Instruct
MetaLlama 3.1 8B Instruct
meta-llama/llama-3.1-8b-instruct
2024-07-23text->textknows up to 2023-12-31
Coding index
5.4
Artificial Analysis
Input
$0.05
per 1M tokens
Output
$0.08
per 1M tokens
Cached input
$0.02
per 1M tokens
Context
131K
tokens it reads
Max output
118K
tokens it writes
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
inspect — the catalog entry
{
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  "canonical_slug": "meta-llama/llama-3.1-8b-instruct",
  "hugging_face_id": "meta-llama/Meta-Llama-3.1-8B-Instruct",
  "name": "Meta: Llama 3.1 8B Instruct",
  "created": 1721692800,
  "description": "Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...",
  "context_length": 131072,
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}
@cf/meta-llama/llama-2-7b-chat-hf-lora
@Cf@cf/meta-llama/llama-2-7b-chat-hf-lora
@cf/meta-llama/llama-2-7b-chat-hf-lora
Context
8K
tokens it reads
This is a Llama2 base model that Cloudflare dedicated for inference with LoRA adapters.
inspect — the catalog entry
{
  "id": "@cf/meta-llama/llama-2-7b-chat-hf-lora",
  "source": 1,
  "name": "@cf/meta-llama/llama-2-7b-chat-hf-lora",
  "description": "This is a Llama2 base model that Cloudflare dedicated for inference with LoRA adapters.",
  "task": {
    "id": "c329a1f9-323d-4e91-b2aa-582dd4188d34",
    "name": "Text Generation",
    "description": "Family of generative text models, such as large language models (LLM), that can be adapted for a variety of natural language tasks."
  },
  "created_at": "2024-04-02 00:17:18.579",
  "tags": [],
  "properties": [
    {
      "property_id": "beta",
      "value": "true"
    },
    {
      "property_id": "context_window",
      "value": "8192"
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