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--- |
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license: other |
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license_name: llama-3 |
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license_link: https://llama.meta.com/llama3/license/ |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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datasets: |
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- Replete-AI/code_bagel_hermes-2.5 |
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- Replete-AI/code_bagel |
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- Replete-AI/OpenHermes-2.5-Uncensored |
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- teknium/OpenHermes-2.5 |
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- layoric/tiny-codes-alpaca |
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- glaiveai/glaive-code-assistant-v3 |
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- ajibawa-2023/Code-290k-ShareGPT |
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- TIGER-Lab/MathInstruct |
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- chargoddard/commitpack-ft-instruct-rated |
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- iamturun/code_instructions_120k_alpaca |
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- ise-uiuc/Magicoder-Evol-Instruct-110K |
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- cognitivecomputations/dolphin-coder |
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- nickrosh/Evol-Instruct-Code-80k-v1 |
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- coseal/CodeUltraFeedback_binarized |
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- glaiveai/glaive-function-calling-v2 |
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- CyberNative/Code_Vulnerability_Security_DPO |
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- jondurbin/airoboros-2.2 |
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- camel-ai |
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- lmsys/lmsys-chat-1m |
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- CollectiveCognition/chats-data-2023-09-22 |
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- CoT-Alpaca-GPT4 |
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- WizardLM/WizardLM_evol_instruct_70k |
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- WizardLM/WizardLM_evol_instruct_V2_196k |
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- teknium/GPT4-LLM-Cleaned |
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- GPTeacher |
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- OpenGPT |
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- meta-math/MetaMathQA |
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- Open-Orca/SlimOrca |
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- garage-bAInd/Open-Platypus |
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- anon8231489123/ShareGPT_Vicuna_unfiltered |
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- Unnatural-Instructions-GPT4 |
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model-index: |
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- name: Replete-Coder-llama3-8b |
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results: |
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- task: |
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name: HumanEval |
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type: text-generation |
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dataset: |
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type: openai_humaneval |
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name: HumanEval |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: .64683835842678326 |
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verified: True |
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- task: |
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name: AI2 Reasoning Challenge |
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type: text-generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: accuracy |
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value: |
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name: normalized accuracy |
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source: |
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url: https://www.placeholderurl.com |
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name: Open LLM Leaderboard |
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- task: |
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name: Text Generation |
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type: text-generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: accuracy |
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value: |
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name: normalized accuracy |
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source: |
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url: https://www.placeholderurl.com |
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name: Open LLM Leaderboard |
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- task: |
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name: Text Generation |
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type: text-generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: accuracy |
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value: |
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name: accuracy |
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source: |
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url: https://www.placeholderurl.com |
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name: Open LLM Leaderboard |
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- task: |
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name: Text Generation |
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type: text-generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: multiple_choice_accuracy |
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value: |
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source: |
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url: https://www.placeholderurl.com |
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name: Open LLM Leaderboard |
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- task: |
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name: Text Generation |
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type: text-generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: accuracy |
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value: |
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name: accuracy |
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source: |
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url: https://www.placeholderurl.com |
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name: Open LLM Leaderboard |
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- task: |
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name: Text Generation |
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type: text-generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: accuracy |
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value: |
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name: accuracy |
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source: |
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url: https://www.placeholderurl.com |
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name: Open LLM Leaderboard |
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quantized_by: bartowski |
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pipeline_tag: text-generation |
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--- |
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## Exllama v2 Quantizations of Llama3-8B-Instruct-Replete-Adapted |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.6">turboderp's ExLlamaV2 v0.1.6</a> for quantization. |
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<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b> |
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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions. |
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Original model: https://huggingface.co/Replete-AI/Llama3-8B-Instruct-Replete-Adapted |
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## Prompt format |
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``` |
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> |
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{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> |
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{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|> |
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``` |
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## Available sizes |
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| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (8K) | VRAM (16k) | VRAM (32k) | Description | |
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| ----- | ---- | ------- | ------ | ------ | ------ | ------ | ------------ | |
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| [8_0](https://huggingface.co/bartowski/Llama3-8B-Instruct-Replete-Adapted-exl2/tree/8_0) | 8.0 | 8.0 | 10.1 GB | 10.5 GB | 11.5 GB | 13.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | |
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| [6_5](https://huggingface.co/bartowski/Llama3-8B-Instruct-Replete-Adapted-exl2/tree/6_5) | 6.5 | 8.0 | 8.9 GB | 9.3 GB | 10.3 GB | 12.4 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. | |
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| [5_0](https://huggingface.co/bartowski/Llama3-8B-Instruct-Replete-Adapted-exl2/tree/5_0) | 5.0 | 6.0 | 7.7 GB | 8.1 GB | 9.1 GB | 11.2 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. | |
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| [4_25](https://huggingface.co/bartowski/Llama3-8B-Instruct-Replete-Adapted-exl2/tree/4_25) | 4.25 | 6.0 | 7.0 GB | 7.4 GB | 8.4 GB | 10.5 GB | GPTQ equivalent bits per weight, slightly higher quality. | |
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| [3_5](https://huggingface.co/bartowski/Llama3-8B-Instruct-Replete-Adapted-exl2/tree/3_5) | 3.5 | 6.0 | 6.4 GB | 6.8 GB | 7.8 GB | 9.9 GB | Lower quality, only use if you have to. | |
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## Download instructions |
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With git: |
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```shell |
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git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Llama3-8B-Instruct-Replete-Adapted-exl2 Llama3-8B-Instruct-Replete-Adapted-exl2-6_5 |
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``` |
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With huggingface hub (credit to TheBloke for instructions): |
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```shell |
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pip3 install huggingface-hub |
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``` |
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To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch: |
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Linux: |
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```shell |
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huggingface-cli download bartowski/Llama3-8B-Instruct-Replete-Adapted-exl2 --revision 6_5 --local-dir Llama3-8B-Instruct-Replete-Adapted-exl2-6_5 |
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``` |
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Windows (which apparently doesn't like _ in folders sometimes?): |
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```shell |
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huggingface-cli download bartowski/Llama3-8B-Instruct-Replete-Adapted-exl2 --revision 6_5 --local-dir Llama3-8B-Instruct-Replete-Adapted-exl2-6.5 |
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``` |
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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski |
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