bartowski's picture
measurement.json
7e60bd1 verified
metadata
license: other
license_name: llama-3
license_link: https://llama.meta.com/llama3/license/
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - llama
datasets:
  - Replete-AI/code_bagel_hermes-2.5
  - Replete-AI/code_bagel
  - Replete-AI/OpenHermes-2.5-Uncensored
  - teknium/OpenHermes-2.5
  - layoric/tiny-codes-alpaca
  - glaiveai/glaive-code-assistant-v3
  - ajibawa-2023/Code-290k-ShareGPT
  - TIGER-Lab/MathInstruct
  - chargoddard/commitpack-ft-instruct-rated
  - iamturun/code_instructions_120k_alpaca
  - ise-uiuc/Magicoder-Evol-Instruct-110K
  - cognitivecomputations/dolphin-coder
  - nickrosh/Evol-Instruct-Code-80k-v1
  - coseal/CodeUltraFeedback_binarized
  - glaiveai/glaive-function-calling-v2
  - CyberNative/Code_Vulnerability_Security_DPO
  - jondurbin/airoboros-2.2
  - camel-ai
  - lmsys/lmsys-chat-1m
  - CollectiveCognition/chats-data-2023-09-22
  - CoT-Alpaca-GPT4
  - WizardLM/WizardLM_evol_instruct_70k
  - WizardLM/WizardLM_evol_instruct_V2_196k
  - teknium/GPT4-LLM-Cleaned
  - GPTeacher
  - OpenGPT
  - meta-math/MetaMathQA
  - Open-Orca/SlimOrca
  - garage-bAInd/Open-Platypus
  - anon8231489123/ShareGPT_Vicuna_unfiltered
  - Unnatural-Instructions-GPT4
model-index:
  - name: Replete-Coder-llama3-8b
    results:
      - task:
          name: HumanEval
          type: text-generation
        dataset:
          type: openai_humaneval
          name: HumanEval
        metrics:
          - name: pass@1
            type: pass@1
            value: 0.6468383584267833
            verified: true
      - task:
          name: AI2 Reasoning Challenge
          type: text-generation
        dataset:
          name: AI2 Reasoning Challenge (25-Shot)
          type: ai2_arc
          config: ARC-Challenge
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: accuracy
            value: null
            name: normalized accuracy
        source:
          url: https://www.placeholderurl.com
          name: Open LLM Leaderboard
      - task:
          name: Text Generation
          type: text-generation
        dataset:
          name: HellaSwag (10-Shot)
          type: hellaswag
          split: validation
          args:
            num_few_shot: 10
        metrics:
          - type: accuracy
            value: null
            name: normalized accuracy
        source:
          url: https://www.placeholderurl.com
          name: Open LLM Leaderboard
      - task:
          name: Text Generation
          type: text-generation
        dataset:
          name: MMLU (5-Shot)
          type: cais/mmlu
          config: all
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: accuracy
            value: null
            name: accuracy
        source:
          url: https://www.placeholderurl.com
          name: Open LLM Leaderboard
      - task:
          name: Text Generation
          type: text-generation
        dataset:
          name: TruthfulQA (0-shot)
          type: truthful_qa
          config: multiple_choice
          split: validation
          args:
            num_few_shot: 0
        metrics:
          - type: multiple_choice_accuracy
            value: null
        source:
          url: https://www.placeholderurl.com
          name: Open LLM Leaderboard
      - task:
          name: Text Generation
          type: text-generation
        dataset:
          name: Winogrande (5-shot)
          type: winogrande
          config: winogrande_xl
          split: validation
          args:
            num_few_shot: 5
        metrics:
          - type: accuracy
            value: null
            name: accuracy
        source:
          url: https://www.placeholderurl.com
          name: Open LLM Leaderboard
      - task:
          name: Text Generation
          type: text-generation
        dataset:
          name: GSM8k (5-shot)
          type: gsm8k
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: accuracy
            value: null
            name: accuracy
        source:
          url: https://www.placeholderurl.com
          name: Open LLM Leaderboard
quantized_by: bartowski
pipeline_tag: text-generation

Exllama v2 Quantizations of Llama3-8B-Instruct-Replete-Adapted

Using turboderp's ExLlamaV2 v0.1.6 for quantization.

The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)

Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.

Original model: https://huggingface.co/Replete-AI/Llama3-8B-Instruct-Replete-Adapted

Prompt format

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Available sizes

Branch Bits lm_head bits VRAM (4k) VRAM (8K) VRAM (16k) VRAM (32k) Description
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.
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.
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.
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.
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.

Download instructions

With git:

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

With huggingface hub (credit to TheBloke for instructions):

pip3 install huggingface-hub

To download a specific branch, use the --revision parameter. For example, to download the 6.5 bpw branch:

Linux:

huggingface-cli download bartowski/Llama3-8B-Instruct-Replete-Adapted-exl2 --revision 6_5 --local-dir Llama3-8B-Instruct-Replete-Adapted-exl2-6_5

Windows (which apparently doesn't like _ in folders sometimes?):

huggingface-cli download bartowski/Llama3-8B-Instruct-Replete-Adapted-exl2 --revision 6_5 --local-dir Llama3-8B-Instruct-Replete-Adapted-exl2-6.5

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski