lmstudio-community/wavecoder-ultra-6.7b-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/wavecoder-ultra-6.7b-gguf overview
Comprehensive model page for lmstudio-community/wavecoder-ultra-6.7b-gguf
Downloads
156
Likes
11
Pipeline
text-generation
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
22 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| wavecoder-ultra-6.7b-IQ1_M.gguf | GGUF | IQ1_M | 1.54 GB | Download |
| wavecoder-ultra-6.7b-IQ1_S.gguf | GGUF | IQ1_S | 1.42 GB | Download |
| wavecoder-ultra-6.7b-IQ2_M.gguf | GGUF | IQ2_M | 2.20 GB | Download |
| wavecoder-ultra-6.7b-IQ2_S.gguf | GGUF | IQ2_S | 2.05 GB | Download |
| wavecoder-ultra-6.7b-IQ2_XS.gguf | GGUF | IQ2_XS | 1.90 GB | Download |
| wavecoder-ultra-6.7b-IQ2_XXS.gguf | GGUF | IQ2_XXS | 1.73 GB | Download |
| wavecoder-ultra-6.7b-IQ3_M.gguf | GGUF | IQ3_M | 2.90 GB | Download |
| wavecoder-ultra-6.7b-IQ3_S.gguf | GGUF | IQ3_S | 2.75 GB | Download |
| wavecoder-ultra-6.7b-IQ3_XS.gguf | GGUF | IQ3_XS | 2.61 GB | Download |
| wavecoder-ultra-6.7b-IQ3_XXS.gguf | GGUF | IQ3_XXS | 2.41 GB | Download |
| wavecoder-ultra-6.7b-IQ4_NL.gguf | GGUF | IQ4_NL | 3.56 GB | Download |
| wavecoder-ultra-6.7b-IQ4_XS.gguf | GGUF | IQ4_XS | 3.37 GB | Download |
| wavecoder-ultra-6.7b-Q2_K.gguf | GGUF | Q2_K | 2.36 GB | Download |
| wavecoder-ultra-6.7b-Q3_K_L.gguf | GGUF | Q3_K_L | 3.35 GB | Download |
| wavecoder-ultra-6.7b-Q3_K_M.gguf | GGUF | Q3_K_M | 3.07 GB | Download |
| wavecoder-ultra-6.7b-Q3_K_S.gguf | GGUF | Q3_K_S | 2.75 GB | Download |
| wavecoder-ultra-6.7b-Q4_K_M.gguf | GGUF | Q4_K_M | 3.80 GB | Download |
| wavecoder-ultra-6.7b-Q4_K_S.gguf | GGUF | Q4_K_S | 3.59 GB | Download |
| wavecoder-ultra-6.7b-Q5_K_M.gguf | GGUF | Q5_K_M | 4.46 GB | Download |
| wavecoder-ultra-6.7b-Q5_K_S.gguf | GGUF | Q5_K_S | 4.33 GB | Download |
| wavecoder-ultra-6.7b-Q6_K.gguf | GGUF | Q6_K | 5.15 GB | Download |
| wavecoder-ultra-6.7b-Q8_0.gguf | GGUF | โ | 6.67 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "other",
"library_name": "transformers",
"datasets": [
"humaneval"
],
"license_name": "deepseek",
"pipeline_tag": "text-generation",
"tags": [
"code"
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"metrics": [
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],
"quantized_by": "bartowski",
"lm_studio": {
"param_count": "6.7b",
"use_case": "coding",
"release_date": "15-04-2024",
"model_creator": "microsoft",
"prompt_template": "alpaca",
"system_prompt": "Below is an instruction that describes a task. Write a response that appropriately completes the request.",
"base_model": "DeepseekCoder",
"original_repo": "microsoft/wavecoder-ultra-6.7b"
},
"frontmatter": {
"license": "other",
"library_name": "transformers",
"datasets": [
"humaneval"
],
"license_name": "deepseek",
"pipeline_tag": "text-generation",
"tags": [
"code"
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"metrics": [
"code_eval"
],
"quantized_by": "bartowski",
"lm_studio": []
},
"hero_image_url": "https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/X-MeWq5Aa0MTYUhEv2C4F.png",
"summary": "",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: other\nlibrary_name: transformers\ndatasets:\n- humaneval\nlicense_name: deepseek\npipeline_tag: text-generation\ntags:\n- code\nmetrics:\n- code_eval\nquantized_by: bartowski\nlm_studio:\n param_count: 6.7b\n use_case: coding\n release_date: 15-04-2024\n model_creator: microsoft\n prompt_template: alpaca\n system_prompt: Below is an instruction that describes a task. Write a response that appropriately completes the request.\n base_model: DeepseekCoder\n original_repo: microsoft/wavecoder-ultra-6.7b\n---\n\n## ๐ซ Community Model> wavecoder-ultra-6.7b by Microsoft\n\n*๐พ [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:** [Microsoft](https://huggingface.co/microsoft)<br>\n**Original model**: [wavecoder-ultra-6.7b](https://huggingface.co/microsoft/wavecoder-ultra-6.7b)<br>\n**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b2675](https://github.com/ggerganov/llama.cpp/releases/tag/b2675)<br>\n\n## Model Summary:\n\nWaveCoder ultra is a coding model created with 'Widepread And Versatile Enhanced' instruction tuning. It has exceptional generalization ability across different code-related tasks and has a high efficiency in generation.<br>\nThis model should be used exclusively for coding, and will follow instructions for code generation.\n\n## Prompt Template:\n\nChoose the `Alpaca` preset in your LM Studio.\n\nUnder the hood, the model will see a prompt that's formatted like so:\n\n```\nBelow is an instruction that describes a task. Write a response that appropriately completes the request.\n### Instruction: {prompt}\n### Response:\n```\n\n## Use case and examples\n\nWaveCoder ultra is fine tuned for code-related instruction following tasks, including code generation, summarization, repair, and translation.\n\n## Code Generation\n\n\n\n## Code Summarization\n\n\n\n## Code Repair\n\n\n\n## Code Translation\n\n\n\n## Technical Details\n\nThe WaveCoder series of models is the result of a 'Widespread And Versatile Enchanced' (WAVE) instruction tuning with a highly refined dataset.\n\nTheir 'CodeOcean' consists of 20,000 instruction instances across the 4 code-related tasks (generation, summarization, repair, translation) with instructions generated by GPT-3.5-turbo.\n\nTo create this dataset, the team used existing raw code from GitHub CodeSearchNet, filtering for quality and diversity, then used a 'novel LLM-based Generator-Discriminator Framework' which involves generating supervised instruction data from the unsupervised open source code.\n\nFor further details and benchmarks, check out their arXiv paper [here](https://arxiv.org/abs/2312.14187)\n\n## Special thanks\n\n๐ 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\n๐ Special thanks to [Kalomaze](https://github.com/kalomaze) for his dataset (linked [here](https://github.com/ggerganov/llama.cpp/discussions/5263)) that was used for calculating the imatrix for these quants, which improves the overall quality!\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.\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"code",
"text-generation",
"dataset:humaneval",
"arxiv:2312.14187",
"license:other",
"endpoints_compatible",
"region:us"
],
"likes": 11,
"downloads": 156,
"gated": false,
"private": false,
"last_modified": "2024-04-16T16:56:24.000Z",
"created_at": "2024-04-16T16:26:54.000Z",
"pipeline_tag": "text-generation",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
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"sha": "b0c5823a17caedf39d912681e88f94dd4c004257",
"createdAt": "2024-04-16T16:26:54.000Z",
"lastModified": "2024-04-16T16:56:24.000Z",
"author": "lmstudio-community",
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