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aya-23-8B-llamafile

jartine

This repository contains executable weights (which we call llamafiles) that run on Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64. Alternatively, you may download an official `llamafile` executable from Mozilla Ocho on GitHub, in which case you can use the Mixtral llamafiles as a simple weights data file. The maximum context size of this model is 8192 tokens. These llamafiles use a default context size of 512 tokens. Whenever you need the maximum context size to be available with llamafile for any given model, you can pass the `-c 0` flag. The temperature on these llamafiles is set to zero by default, because it helps. This can be changed, e.g. `--temp 0.8`.

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dolphin-2.5-mixtral-8x7b-llamafile

jartine

WARNING: This README may contain inaccuracies. It was generated automatically by forking TheBloke/dolphin-2.5-mixtral-8x7b-GGUF and piping the README through sed. Errors should be reported to jartine, and do not reflect TheBloke. You can also support his work on Patreon. llamafile is a new format introduced by Mozilla Ocho on Nov 20th 2023. It uses Cosmopolitan Libc to turn LLM weights into runnable llama.cpp binaries that run on the stock installs of six OSes for both ARM64 and AMD64. These Mixtral llamafiles are compatible with llama.cpp from December 13th onwards. Other clients/libraries may not work yet.

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gemma-2-27b-it-llamafile

jartine

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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gemma-2-9b-it-llamafile

jartine

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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mistral-7b.llamafile

jartine

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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Nous-Hermes-Llama2-llamafile

jartine

WARNING: This README may contain inaccuracies. It was generated automatically by forking TheBloke/Nous-Hermes-Llama2-GGUF and piping the README through sed. Errors should be reported to jartine, and do not reflect TheBloke. You can support his work on Patreon. llamafile is a new format introduced by Mozilla Ocho on Nov 20th 2023. It uses Cosmopolitan Libc to turn LLM weights into runnable llama.cpp binaries that run on the stock installs of six OSes for both ARM64 and AMD64. llamafile offers numerous advantages over GGML, such as better tokenisation, and support for special tokens. It is also supports metadata, and is designed to be extensible. The creator of the source model has listed its license as `['mit']`, and this quantization has therefore used that same license.

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phi-2-llamafile

jartine

- Model creator: Microsoft - Original model: Phi 2 This repo contains llamafile format model files for Microsoft's Phi 2. WARNING: This README may contain inaccuracies. It was generated automatically by forking TheBloke/phi-2-GGUF and piping the README through sed. Errors should be reported to jartine, and do not reflect TheBloke. You can also support his work on Patreon.

Text generation

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wizardcoder-13b-python

jartine

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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Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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Explore AI models 8

aya-23-8B-llamafile

dolphin-2.5-mixtral-8x7b-llamafile

gemma-2-27b-it-llamafile

gemma-2-9b-it-llamafile

mistral-7b.llamafile

Nous-Hermes-Llama2-llamafile

phi-2-llamafile

wizardcoder-13b-python

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