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lmstudio-community/codellama-7b-kstack-clean-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/codellama-7b-kstack-clean-gguf overview

๐Ÿ’ซ Community Model> CodeLlama 7B KStack clean by JetBrains ๐Ÿ‘พ LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord. Model creator: JetBrains Original model: CodeLlama-7B-KStack-clean GGUF quantization: provided by bartowski based on llama.cpp release b2965

ggufcodetext-generationdataset:JetBrains/KStack-cleanbase_model:JetBrains/CodeLlama-7B-KStack-cleanbase_model:quantized:JetBrains/CodeLlama-7B-KStack-cleanlicense:apache-2.0endpoints_compatibleregion:usimatrix
lmstudio-community/codellama-7b-kstack-clean-gguf visual
Downloads
191
Likes
1
Pipeline
text-generation
Library
โ€”
Visibility
Public
Access
Open

Repository Files & Downloads

4 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
CodeLlama-7B-KStack-clean-IQ3_M.gguf GGUF IQ3_M 2.90 GB Download
CodeLlama-7B-KStack-clean-Q4_K_M.gguf GGUF Q4_K_M 3.80 GB Download
CodeLlama-7B-KStack-clean-Q6_K.gguf GGUF Q6_K 5.15 GB Download
CodeLlama-7B-KStack-clean-Q8_0.gguf GGUF โ€” 6.67 GB Download

Model Details Live

Model Slug
lmstudio-community/codellama-7b-kstack-clean-gguf
Author
lmstudio-community
Pipeline Task
text-generation
Library
โ€”
Created
2024-05-25
Last Modified
2024-05-25
Gated
No
Private
No
HF SHA
903cea15133bd321201f05c1c927727e67b59e34
License
apache-2.0
Language
Unknown
Base Model
JetBrains/CodeLlama-7B-KStack-clean

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "apache-2.0",
    "datasets": [
      "JetBrains/KStack-clean"
    ],
    "results": [
      {
        "task": {
          "type": "text-generation"
        },
        "dataset": {
          "name": "MultiPL-HumanEval (Kotlin)",
          "type": "openai_humaneval"
        },
        "metrics": [
          {
            "name": "pass@1",
            "type": "pass@1",
            "value": 37.89
          }
        ]
      }
    ],
    "tags": [
      "code"
    ],
    "quantized_by": "bartowski",
    "pipeline_tag": "text-generation",
    "lm_studio": {
      "param_count": "7b",
      "use_case": "code completion",
      "release_date": "21-05-2024",
      "model_creator": "JetBrains",
      "prompt_template": "none",
      "system_prompt": "none",
      "base_model": "CodeLlama-7b",
      "original_repo": "JetBrains/CodeLlama-7B-KStack-clean"
    },
    "base_model": "JetBrains/CodeLlama-7B-KStack-clean",
    "frontmatter": {
      "license": "apache-2.0",
      "datasets": [
        "JetBrains/KStack-clean"
      ],
      "results": [
        "task:",
        "name: pass@1"
      ],
      "tags": [
        "code"
      ],
      "quantized_by": "bartowski",
      "pipeline_tag": "text-generation",
      "lm_studio": [],
      "base_model": "JetBrains/CodeLlama-7B-KStack-clean"
    },
    "hero_image_url": "",
    "summary": "## ๐Ÿ’ซ Community Model> CodeLlama 7B KStack clean by JetBrains *๐Ÿ‘พ LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** JetBrains **Original model**: CodeLlama-7B-KStack-clean **GGUF quantization:** provided by bartowski based on llama.cpp release b2965",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\ndatasets:\n- JetBrains/KStack-clean\nresults:\n- task:\n    type: text-generation\n  dataset:\n    name: MultiPL-HumanEval (Kotlin)\n    type: openai_humaneval\n  metrics:\n  - name: pass@1\n    type: pass@1\n    value: 37.89\ntags:\n- code\nquantized_by: bartowski\npipeline_tag: text-generation\nlm_studio:\n  param_count: 7b\n  use_case: code completion\n  release_date: 21-05-2024\n  model_creator: JetBrains\n  prompt_template: none\n  system_prompt: none\n  base_model: CodeLlama-7b\n  original_repo: JetBrains/CodeLlama-7B-KStack-clean\nbase_model: JetBrains/CodeLlama-7B-KStack-clean\n---\n## ๐Ÿ’ซ Community Model> CodeLlama 7B KStack clean by JetBrains\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:** [JetBrains](https://huggingface.co/JetBrains)<br>\n**Original model**: [CodeLlama-7B-KStack-clean](https://huggingface.co/JetBrains/CodeLlama-7B-KStack-clean)<br>\n**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b2965](https://github.com/ggerganov/llama.cpp/releases/tag/b2965)<br>\n\n## Model Summary:\n\nThis model is designed to be used exclusive for code completion and tuned specifically for Kotlin.<br>\nUse this model as a coding assistant and for completion in your IDE to generate strong Kotlin code.\n\n## Prompt template:\n\nThere is no prompt template for this model, it should be used for completion.\n\n## Technical Details\n\nThis model is based on the CodeLlama-7b and trained on 25K examples from the KStack-clean dataset found here: https://huggingface.co/datasets/JetBrains/KStack-clean<br>\nIt supports FIM tokens:\n - `'<PRE> ' + prefix + ' <SUF> ' + suffix + ' <MID>'`\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), [Dampf](https://github.com/Dampfinchen) and [turboderp](https://github.com/turboderp/) for their work on the dataset (linked [here](https://gist.github.com/bartowski1182/b6ac44691e994344625687afe3263b3a)) that was used for calculating the imatrix for all sizes.\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",
    "code",
    "text-generation",
    "dataset:JetBrains/KStack-clean",
    "base_model:JetBrains/CodeLlama-7B-KStack-clean",
    "base_model:quantized:JetBrains/CodeLlama-7B-KStack-clean",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ],
  "likes": 1,
  "downloads": 191,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-25T19:16:22.000Z",
  "created_at": "2024-05-25T18:00:37.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
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  "id": "lmstudio-community/CodeLlama-7B-KStack-clean-GGUF",
  "modelId": "lmstudio-community/CodeLlama-7B-KStack-clean-GGUF",
  "sha": "903cea15133bd321201f05c1c927727e67b59e34",
  "createdAt": "2024-05-25T18:00:37.000Z",
  "lastModified": "2024-05-25T19:16:22.000Z",
  "author": "lmstudio-community",
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  "siblings_count": 6
}