# QuantFactory/Llama3-8B-Instruct-Replete-Adapted-GGUF

Model from Hugging Face for text generation: QuantFactory/Llama3-8B-Instruct-Replete-Adapted-GGUF · transformers

## Facts

- Type: LLM
- Task: text-generation
- Framework: transformers
- License: llama-3 (custom terms)
- Source: unknown
- Hosting: hosted (1 file)
- Files: 1 hosted of 16 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 1 file, 4.92 GB
- Full repo upstream: 72.7 GB
- Recommended file: 4.92 GB (Q4_K_M) · Llama3-8B-Instruct-Replete-Adapted.Q4_K_M.gguf
- Parameters: 8B
- Download: https://huggingbay.xyz/artifact/hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf/download-plan)
- Per-file SHA-256: available for 1 of 1 hosted file via https://huggingbay.xyz/api/artifacts/hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 923
- Stars: 2
- Card completeness: 96%

## Description

External Hugging Face catalog record for QuantFactory/Llama3-8B-Instruct-Replete-Adapted-GGUF. Task: text generation. Library: transformers. Datasets referenced by card metadata: 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. Base model: Replete-AI/Llama3-8B-Instruct-Replete-Adapted. Includes 7 model-card evaluation signals. Popularity signal at import: 923 downloads and 2 likes.

## Model Card Facts

- Declared license: other
- Pipeline: text-generation
- Library: transformers
- Base model: Replete-AI/Llama3-8B-Instruct-Replete-Adapted
- Task categories: text-generation
- Referenced 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
- Model-index entries: Replete-Coder-llama3-8b
- Evaluation signals: 7 model-card eval results
- File hints: 16 upstream file samples

## Evaluation Signals

- HumanEval: pass@1 = 0.6468383584267833 (HumanEval)
- AI2 Reasoning Challenge (25-Shot): normalized accuracy (AI2 Reasoning Challenge)
- HellaSwag (10-Shot): normalized accuracy (Text Generation)
- MMLU (5-Shot): accuracy (Text Generation)
- TruthfulQA (0-shot): multiple_choice_accuracy (Text Generation)
- Winogrande (5-shot): accuracy (Text Generation)
- GSM8k (5-shot): accuracy (Text Generation)

## Referenced Data

- Dataset: Replete-AI/code_bagel_hermes-2.5
- Dataset: Replete-AI/code_bagel
- Dataset: Replete-AI/OpenHermes-2.5-Uncensored
- Dataset: teknium/OpenHermes-2.5
- Dataset: layoric/tiny-codes-alpaca
- Dataset: glaiveai/glaive-code-assistant-v3
- Dataset: ajibawa-2023/Code-290k-ShareGPT
- Dataset: TIGER-Lab/MathInstruct
- Dataset: chargoddard/commitpack-ft-instruct-rated
- Dataset: iamturun/code_instructions_120k_alpaca
- Dataset: ise-uiuc/Magicoder-Evol-Instruct-110K
- Dataset: cognitivecomputations/dolphin-coder

## File Hints

- .gitattributes (2.6 KB)
- Llama3-8B-Instruct-Replete-Adapted.Q2_K.gguf (3.0 GB) LFS
- Llama3-8B-Instruct-Replete-Adapted.Q3_K_L.gguf (4.0 GB) LFS
- Llama3-8B-Instruct-Replete-Adapted.Q3_K_M.gguf (3.7 GB) LFS
- Llama3-8B-Instruct-Replete-Adapted.Q3_K_S.gguf (3.4 GB) LFS
- Llama3-8B-Instruct-Replete-Adapted.Q4_0.gguf (4.3 GB) LFS
- Llama3-8B-Instruct-Replete-Adapted.Q4_1.gguf (4.8 GB) LFS
- Llama3-8B-Instruct-Replete-Adapted.Q4_K_M.gguf (4.6 GB) LFS
- Llama3-8B-Instruct-Replete-Adapted.Q4_K_S.gguf (4.4 GB) LFS
- Llama3-8B-Instruct-Replete-Adapted.Q5_0.gguf (5.2 GB) LFS
- Llama3-8B-Instruct-Replete-Adapted.Q5_1.gguf (5.7 GB) LFS
- Llama3-8B-Instruct-Replete-Adapted.Q5_K_M.gguf (5.3 GB) LFS

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: review
- Provenance: missing
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-19T01:30:24.848Z.
- Upstream license: other. Mirror admission policy: permissive (owner policy; no license rights inferred).
- Model-index metadata found for Replete-Coder-llama3-8b.
- Model card references dataset context: Replete-AI/code_bagel_hermes-2.5, Replete-AI/code_bagel, Replete-AI/OpenHermes-2.5-Uncensored, teknium/OpenHermes-2.5.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-quantfactory-llama3-8b-instruct-replete-adapted-gguf/decentralized-fallbacks