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lmstudio-community/alchemistcoder-l-7b-gguf Q6_K 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/alchemistcoder-l-7b-gguf overview

Comprehensive model page for lmstudio-community/alchemistcoder-l-7b-gguf

ggufcode generationtext-generationarxiv:2405.19265base_model:internlm/AlchemistCoder-L-7Bbase_model:quantized:internlm/AlchemistCoder-L-7Blicense:apache-2.0endpoints_compatibleregion:usimatrix
lmstudio-community/alchemistcoder-l-7b-gguf visual
Downloads
110
Likes
3
Pipeline
text-generation
Library
Visibility
Public
Access
Open

Repository Files & Downloads

5 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
AlchemistCoder-L-7B-IQ4_XS.gguf GGUF IQ4_XS 3.37 GB Download
AlchemistCoder-L-7B-Q4_K_M.gguf GGUF Q4_K_M 3.80 GB Download
AlchemistCoder-L-7B-Q5_K_M.gguf GGUF Q5_K_M 4.45 GB Download
AlchemistCoder-L-7B-Q6_K.gguf GGUF Q6_K 5.15 GB Download
AlchemistCoder-L-7B-Q8_0.gguf GGUF 6.67 GB Download

Model Details Live

Model Slug
lmstudio-community/alchemistcoder-l-7b-gguf
Author
lmstudio-community
Pipeline Task
text-generation
Library
Created
2024-05-31
Last Modified
2024-05-31
Gated
No
Private
No
HF SHA
77a6f59e5bca6689ac977e443b556d0b7a6819e7
License
apache-2.0
Language
Unknown
Base Model
internlm/AlchemistCoder-L-7B

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "apache-2.0",
    "tags": [
      "code generation"
    ],
    "quantized_by": "bartowski",
    "pipeline_tag": "text-generation",
    "lm_studio": {
      "param_count": "7b",
      "use_case": "coding",
      "release_date": "29-05-2024",
      "model_creator": "InternLM",
      "prompt_template": "Alpaca",
      "system_prompt": "none",
      "base_model": "Llama 2",
      "original_repo": "internlm/AlchemistCoder-L-7B"
    },
    "base_model": "internlm/AlchemistCoder-L-7B",
    "frontmatter": {
      "license": "apache-2.0",
      "tags": [
        "code generation"
      ],
      "quantized_by": "bartowski",
      "pipeline_tag": "text-generation",
      "lm_studio": [],
      "base_model": "internlm/AlchemistCoder-L-7B"
    },
    "hero_image_url": "",
    "summary": "",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\ntags:\n- code generation\nquantized_by: bartowski\npipeline_tag: text-generation\nlm_studio:\n  param_count: 7b\n  use_case: coding\n  release_date: 29-05-2024\n  model_creator: InternLM\n  prompt_template: Alpaca\n  system_prompt: none\n  base_model: Llama 2\n  original_repo: internlm/AlchemistCoder-L-7B\nbase_model: internlm/AlchemistCoder-L-7B\n---\n\n## 💫 Community Model> AlchemistCoder L 7B by InternLM\n\n*👾 [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:** [InternLM](https://huggingface.co/internlm)<br>\n**Original model**: [AlchemistCoder-L-7B](https://huggingface.co/internlm/AlchemistCoder-L-7B)<br>\n**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3024](https://github.com/ggerganov/llama.cpp/releases/tag/b3024)<br>\n\n## Model Summary:\n\nAlchemistCoder is a series of coding models by InternLM.<br>\nThis model is tuned from Llama 2, and should excel at all coding related tasks.\n\n## Prompt template:\n\nChoose the `MetaAI Llama 2 Chat` preset in your LM Studio.\n\nUnder the hood, the model will see a prompt that's formatted like so:\n\n```\n[INST]<<SYS>>\n{System}\n<</SYS>>[/INST]\n[INST]\n{User}\n[/INST]\n{Assistant}\n```\n\n## Technical Details\n\nTraining details:\n\n- **AlchemistPrompts**: Designed as data-specific prompts for harmonizing inherent conflicts in multi-source data and mitigating the instruction/response misalignment at a fined-grained level.\n- **Code Comprehenstion Tasks**: Sourced from the process of data construction, consisting of instruction evolution, data filtering, and code review.\n- **Harmonized Multi-source Data**: Instruction tuned on 200M tokens, including 6 types of high-quality data.\n- **Superior Model Performance**: Surpassing all the open-source models of the same size (6.7/7B), and rivaling or even beating larger models (15B/33B/70B/ChatGPT) on 6 code benchmarks.\n- **Advanced generic capabilities**: Demonstrated by the significant improvements on MMLU, BBH, and GSM8K.\n\nFor more information, check out their paper here: https://arxiv.org/abs/2405.19265\n\n## Special thanks\n\n🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) \n\n🙏 Special thanks to [Kalomaze](https://github.com/kalomaze) and [Dampf](https://github.com/Dampfinchen) for their work on the dataset (linked [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8)) 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 generation",
    "text-generation",
    "arxiv:2405.19265",
    "base_model:internlm/AlchemistCoder-L-7B",
    "base_model:quantized:internlm/AlchemistCoder-L-7B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ],
  "likes": 3,
  "downloads": 110,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-31T00:28:15.000Z",
  "created_at": "2024-05-31T00:20:23.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "665917c7197d3500e0c035ab",
  "id": "lmstudio-community/AlchemistCoder-L-7B-GGUF",
  "modelId": "lmstudio-community/AlchemistCoder-L-7B-GGUF",
  "sha": "77a6f59e5bca6689ac977e443b556d0b7a6819e7",
  "createdAt": "2024-05-31T00:20:23.000Z",
  "lastModified": "2024-05-31T00:28:15.000Z",
  "author": "lmstudio-community",
  "downloads": 110,
  "likes": 3,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "",
  "siblings_count": 7
}