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lmstudio-community/llama-3-groq-8b-tool-use-gguf - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

lmstudio-community/llama-3-groq-8b-tool-use-gguf overview

๐Ÿ’ซ Community Model> Llama 3 8B Tool Use by Groq ๐Ÿ‘พ LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord. Model creator: Groq Original model: Llama-3-Groq-8B-Tool-Use GGUF quantization: provided by bartowski based on llama.cpp release b3389

gguffacebookmetapytorchllamallama-3groqtool-usefunction-callingtext-generationenbase_model:Groq/Llama-3-Groq-8B-Tool-Usebase_model:quantized:Groq/Llama-3-Groq-8B-Tool-Uselicense:llama3endpoints_compatibleregion:usimatrixconversational
lmstudio-community/llama-3-groq-8b-tool-use-gguf visual
Downloads
303
Likes
17
Pipeline
text-generation
Library
โ€”
Visibility
Public
Access
Open

Repository Files & Downloads

6 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Llama-3-Groq-8B-Tool-Use-IQ4_XS.gguf GGUF IQ4_XS 4.14 GB Download
Llama-3-Groq-8B-Tool-Use-Q3_K_L.gguf GGUF Q3_K_L 4.03 GB Download
Llama-3-Groq-8B-Tool-Use-Q4_K_M.gguf GGUF Q4_K_M 4.58 GB Download
Llama-3-Groq-8B-Tool-Use-Q5_K_M.gguf GGUF Q5_K_M 5.34 GB Download
Llama-3-Groq-8B-Tool-Use-Q6_K.gguf GGUF Q6_K 6.14 GB Download
Llama-3-Groq-8B-Tool-Use-Q8_0.gguf GGUF โ€” 7.95 GB Download

Model Details Live

Model Slug
lmstudio-community/llama-3-groq-8b-tool-use-gguf
Author
lmstudio-community
Pipeline Task
text-generation
Library
โ€”
Created
2024-07-18
Last Modified
2024-07-18
Gated
No
Private
No
HF SHA
5205b56f932e05f8594485f8f5f18ffc8fd5e27b
License
llama3
Language
en
Base Model
Groq/Llama-3-Groq-8B-Tool-Use

Metadata Inspector

Normalized metadata (stored in metadata_json)
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  "metadata": {},
  "card_data": {
    "base_model": "Groq/Llama-3-Groq-8B-Tool-Use",
    "language": [
      "en"
    ],
    "license": "llama3",
    "pipeline_tag": "text-generation",
    "tags": [
      "facebook",
      "meta",
      "pytorch",
      "llama",
      "llama-3",
      "groq",
      "tool-use",
      "function-calling"
    ],
    "quantized_by": "bartowski",
    "lm_studio": {
      "param_count": "8b",
      "use_case": "tools",
      "release_date": "17-07-2024",
      "model_creator": "Groq",
      "prompt_template": "Llama 3",
      "base_model": "llama",
      "original_repo": "Groq/Llama-3-Groq-8B-Tool-Use"
    },
    "frontmatter": {
      "base_model": "Groq/Llama-3-Groq-8B-Tool-Use",
      "language": [
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      "license": "llama3",
      "pipeline_tag": "text-generation",
      "tags": [
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        "meta",
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        "function-calling"
      ],
      "quantized_by": "bartowski",
      "lm_studio": []
    },
    "hero_image_url": "",
    "summary": "## ๐Ÿ’ซ Community Model> Llama 3 8B Tool Use by Groq *๐Ÿ‘พ LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** Groq **Original model**: Llama-3-Groq-8B-Tool-Use **GGUF quantization:** provided by bartowski based on llama.cpp release b3389",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Groq/Llama-3-Groq-8B-Tool-Use\nlanguage:\n- en\nlicense: llama3\npipeline_tag: text-generation\ntags:\n- facebook\n- meta\n- pytorch\n- llama\n- llama-3\n- groq\n- tool-use\n- function-calling\nquantized_by: bartowski\nlm_studio:\n  param_count: 8b\n  use_case: tools\n  release_date: 17-07-2024\n  model_creator: Groq\n  prompt_template: Llama 3\n  base_model: llama\n  original_repo: Groq/Llama-3-Groq-8B-Tool-Use\n---\n## ๐Ÿ’ซ Community Model> Llama 3 8B Tool Use by Groq\n\n*๐Ÿ‘พ [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.\n\n**Model creator:** [Groq](https://huggingface.co/Groq)<br>\n**Original model**: [Llama-3-Groq-8B-Tool-Use](https://huggingface.co/Groq/Llama-3-Groq-8B-Tool-Use)<br>\n**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3389](https://github.com/ggerganov/llama.cpp/releases/tag/b3389)<br>\n\n## Model Summary:\nThis is a finetune of Llama 3 8B for tool use and function calling.<br>\nIt excels at, and should be used for, tasks involving API interactions, structured data manipulation, and complex tool use.\n\n## Prompt template:\n\nChoose the `Llama 3` preset in your LM Studio.\n\nUnder the hood, the model will see a prompt that's formatted like so:\n\n```\n<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n```\n\n## Technical Details\n\nScores 89.06% overall accuracy on the Berkeley Function Calling Leaderboard (BFCL)\n\nExample tool use prompt:\n\n```\n<|start_header_id|>system<|end_header_id|>\n\nYou are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:\n<tool_call>\n{\"name\": <function-name>,\"arguments\": <args-dict>}\n</tool_call>\n\nHere are the available tools:\n<tools> {\n    \"name\": \"get_current_weather\",\n    \"description\": \"Get the current weather in a given location\",\n    \"parameters\": {\n        \"properties\": {\n            \"location\": {\n                \"description\": \"The city and state, e.g. San Francisco, CA\",\n                \"type\": \"string\"\n            },\n            \"unit\": {\n                \"enum\": [\n                    \"celsius\",\n                    \"fahrenheit\"\n                ],\n                \"type\": \"string\"\n            }\n        },\n        \"required\": [\n            \"location\"\n        ],\n        \"type\": \"object\"\n    }\n} </tools><|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat is the weather like in San Francisco?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n<tool_call>\n{\"id\":\"call_deok\",\"name\":\"get_current_weather\",\"arguments\":{\"location\":\"San Francisco\",\"unit\":\"celsius\"}}\n</tool_call><|eot_id|><|start_header_id|>tool<|end_header_id|>\n\n<tool_response>\n{\"id\":\"call_deok\",\"result\":{\"temperature\":\"72\",\"unit\":\"celsius\"}}\n</tool_response><|eot_id|><|start_header_id|>assistant<|end_header_id|>\n```\n\n## Special thanks\n\n๐Ÿ™ Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.\n\n๐Ÿ™ Special thanks to [Kalomaze](https://github.com/kalomaze) for his dataset (linked [here](https://github.com/ggerganov/llama.cpp/discussions/5263)) for imatrix calibration.\n\n## Disclaimers\n\nLM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model.  You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models.  LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "facebook",
    "meta",
    "pytorch",
    "llama",
    "llama-3",
    "groq",
    "tool-use",
    "function-calling",
    "text-generation",
    "en",
    "base_model:Groq/Llama-3-Groq-8B-Tool-Use",
    "base_model:quantized:Groq/Llama-3-Groq-8B-Tool-Use",
    "license:llama3",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 17,
  "downloads": 303,
  "gated": false,
  "private": false,
  "last_modified": "2024-07-18T06:18:55.000Z",
  "created_at": "2024-07-18T04:53:05.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
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