AlchemistCoder-DS-6.7B-GGUF
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言語から画像、オープンウェイトからAPIまで。能力と実際の費用を比較。
次のアイデアに合うAIを見つけましょう。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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Private LM Studio conversion of `prism-ml/Bonsai-27B-unpacked`. The language model was converted with llama.cpp commit `0e4a0362239713ea95a6864a17a8de4b0ad90d62` using `--no-mtp`, then quantized with `llama-quantize --pure ... Q1_0`. Excluding MTP is required because the source configuration advertises one MTP layer while the checkpoint contains language blocks 0 through 63 only. This repository intentionally does **not** include Prism’s separately packaged DSpark draft model. It therefore indexes as one 27B target plus one vision adapter in LM Studio.
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** Mistral AI **Original model**: Codestral-22B-v0.1 **GGUF quantization:** provided by bartowski based on `llama.cpp` release b3024 Codestral is a brand new coding model released by the Mistral team. This 22B model is the first of its size and the first ever specialized model released by this team. Supporting both instruction prompting and popular Fill in the Middle (FIM) tokens for predictions, this model should be all around great for all your coding tasks.
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基本情報を収録・詳細は順次追加
*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** DeepSeek **Original model**: DeepSeek-Coder-V2-Lite-Instruct **GGUF quantization:** provided by bartowski based on `llama.cpp` release b3166 This is a brand new Mixture of Export (MoE) model from DeepSeek, specializing in coding instructions. This model performs well across a series of coding benchmarks and should be used for both instruction following and code completion.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-0528-Qwen3-8B **GGUF quantization:** provided by bartowski based on `llama.cpp` release b5524 **LM Studio Model Page:** https://lmstudio.ai/models/deepseek/deepseek-r1-0528-qwen3-8b Created by distilling the chain-of-thought from DeepSeek-R1-0528 to post-train Qwen3 8B Base
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-0528-Qwen3-8B **MLX quantization:** provided by LM Studio team using mlx_lm **LM Studio Model Page:** https://lmstudio.ai/models/deepseek/deepseek-r1-0528-qwen3-8b 4-bit quantized version of DeepSeek-R1-0528-Qwen3-8B using MLX, optimized for Apple Silicon.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-0528-Qwen3-8B **MLX quantization:** provided by LM Studio team using mlx_lm **LM Studio Model Page:** https://lmstudio.ai/models/deepseek/deepseek-r1-0528-qwen3-8b 8-bit quantized version of DeepSeek-R1-0528-Qwen3-8B using MLX, optimized for Apple Silicon.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-Distill-Llama-70B **GGUF quantization:** provided by bartowski based on `llama.cpp` release b4514 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-Distill-Llama-8B **GGUF quantization:** provided by bartowski based on `llama.cpp` release b4514 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-Distill-Qwen-1.5B **GGUF quantization:** provided by bartowski based on `llama.cpp` release b4514 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-Distill-Qwen-14B **GGUF quantization:** provided by bartowski based on `llama.cpp` release b4514 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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提供元・分類・入出力の条件を変更してください。新しいモデルを随時追加しています。
月間トークン数を調整してAPI費用を比較。
収集済みの比較可能な100万トークン当たり米ドル料金です。キャッシュ割引、段階料金、追加推論出力、税金は含みません。最新料金は出典で確認してください。
入力・出力・キャッシュ料金を分け、同じ用途と使用量で総費用を比較します。画像・音声・動画は枚数、時間、解像度で課金される場合があります。
必ずしもそうではありません。バージョンごとのライセンス、商用制限、ポリシーを確認してください。自前運用には計算資源と保守費用も必要です。
順位はテスト、バージョン、評価方法によります。実際の業務データで精度、遅延、安定性、費用を比較してください。