Home/Compare/HCP-Coder vs LlamaFactory

Comparison

HCP-Coder vs LlamaFactory

Verdict

Pick HCP-Coder when license: HCP-Coder is MIT, LlamaFactory is Apache-2.0; pick LlamaFactory when license: LlamaFactory is Apache-2.0, HCP-Coder is MIT.

Markdown twin · HCP-Coder alternatives · LlamaFactory alternatives

GraphCanon updated today

HCP-Coder logo

HCP-Coder

Hambaobao/HCP-Coder

17pushed Nov 17, 2024
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026

Trust & integrity

SignalHCP-CoderLlamaFactory
Maintenance
Dormant (601d since push)
As of today · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
Security (OSV)
49 low (49 low)
As of today · osv@v1
No lockfile
As of 1d · none

Tagline

HCP-Coder
Hierarchical Context Pruning (HCP): A strategy to optimize real-world code completion with repository-level pre-trained code large language models
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

HCP-Coder
17
LlamaFactory
73k

Forks

HCP-Coder
2
LlamaFactory
8.9k

Open issues

HCP-Coder
1
LlamaFactory
1.1k

Language

HCP-Coder
Python
LlamaFactory
Python

Adopt for

HCP-Coder
-
LlamaFactory
LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization.

Persona

HCP-Coder
-
LlamaFactory
-

Runtime

HCP-Coder
-
LlamaFactory
-

License

HCP-Coder
MIT
LlamaFactory
Apache-2.0

Last pushed

HCP-Coder
Nov 17, 2024
LlamaFactory
Jul 10, 2026

Categories

HCP-Coder
LLM Frameworks, Model Training
LlamaFactory
LLM Frameworks, Model Training

Trust and health

Maintenance

HCP-Coder
Dormant (18%)
LlamaFactory
Very active (96%)

Days since push

HCP-Coder
601d
LlamaFactory
0d

Open issues (now)

HCP-Coder
1
LlamaFactory
1.1k

Security scan

HCP-Coder
49 low (49 low)
LlamaFactory
No lockfile

Full report

HCP-Coder
Trust report
LlamaFactory
Trust report

Choose HCP-Coder if…

  • License: HCP-Coder is MIT, LlamaFactory is Apache-2.0.
  • Tags unique to HCP-Coder: code-completion, python.
  • Leaner open-issue backlog (1).

When NOT to use HCP-Coder

  • Last GitHub push was 601 days ago (dormant maintenance, Nov 17, 2024). Validate activity before betting a new project on HCP-Coder.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose LlamaFactory if…

  • License: LlamaFactory is Apache-2.0, HCP-Coder is MIT.
  • Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning.
  • When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.

When NOT to use LlamaFactory

  • When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory.
  • If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: HCP-Coder 17 · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between HCP-Coder and LlamaFactory?
HCP-Coder: Hierarchical Context Pruning (HCP): A strategy to optimize real-world code completion with repository-level pre-trained code large language models. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose HCP-Coder over LlamaFactory?
Choose HCP-Coder over LlamaFactory when License: HCP-Coder is MIT, LlamaFactory is Apache-2.0; Tags unique to HCP-Coder: code-completion, python; Leaner open-issue backlog (1).
When should I choose LlamaFactory over HCP-Coder?
Choose LlamaFactory over HCP-Coder when License: LlamaFactory is Apache-2.0, HCP-Coder is MIT; Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When should I avoid HCP-Coder?
Last GitHub push was 601 days ago (dormant maintenance, Nov 17, 2024). Validate activity before betting a new project on HCP-Coder. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid LlamaFactory?
When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
Is HCP-Coder or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 17). Stars measure visibility, not whether either tool fits your constraints.
Are HCP-Coder and LlamaFactory open source?
Yes - both are open-source projects on GitHub (HCP-Coder: MIT, LlamaFactory: Apache-2.0).
Where can I find alternatives to HCP-Coder or LlamaFactory?
GraphCanon lists graph-backed alternatives at HCP-Coder alternatives and LlamaFactory alternatives (HCP-Coder markdown twin, LlamaFactory markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, HCP-Coder or LlamaFactory?
HCP-Coder: Dormant. LlamaFactory: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for HCP-Coder and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: HCP-Coder trust report; LlamaFactory trust report.