llama-7b

6.74B parameters, text in, text out, 2K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #620 in LLMs · score 73.6 method v1 Sources 3 Downloads 30d 176.6k · #263 of 619 tracked

Can I run it?4.0GB at INT4Estimatefits a 16 GB cardmethodCommunity: MLX: Fine-tune Llama 7B or Mistral 7B with 32GB →

Can I use it?OtherCustom license; read the repo LICENSE before commercial hostinglicence file2026-10-24

Do people use it?176.6kdownloads, 30 days#263 of 619 we track · top 42%+0 likes, downloads −21% this week360 likesHugging Face2026-10-24

Worth reading

Picked by rule from 38 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 1,311 HN pts

Llama.cpp 30B runs with only 6GB of RAM now

llama.cpp introduces a new file format enabling memory mapping for model weights, resulting in loading speeds 10 to 100 times faster.

The new format merges multi-file models like LLaMA 13B into a single file to prevent C++ code from reshaping data during loading.

github.com 2023-03-31 1,311 HN pts · 414 comments 989 words about the llama family family

Latest · 2 years ago

Llama 3.2: Revolutionizing edge AI and vision with open, customizable models

Meta releases Llama 3.2, featuring small and medium-sized vision LLMs (11B and 90B) alongside lightweight text-only models (1B and 3B) designed for edge and mobile devices.

The 11B and 90B vision models require an entirely new model architecture that supports image reasoning.
Developers can keep all text-only capabilities intact because the adapter training intentionally did not update the language-model parameters.

ai.meta.com 2024-09-25 924 HN pts · 328 comments 2.5k words about the llama family family

25 best of 38 tracked

The 3 picks above, plus these 22. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

ArticleCode Llama, a state-of-the-art large language model for codingai.meta.com · 2023-08-24 · 970 HN pts
ArticleThe LLama Effect: Leak Sparked a Series of Open Source Alternatives to ChatGPTthesequence.substack.com · 2023-04-09 · 791 HN pts
CodeLlama.cpp: Port of Facebook's LLaMA model in C/C++, with Apple Silicon supportgithub.com · 2023-03-10 · 989 HN pts
CodeGpt4all: A chatbot trained on ~800k GPT-3.5-Turbo Generations based on LLaMagithub.com · 2023-03-28 · 593 HN pts
CodeRun Llama 13B with a 6GB graphics cardgist.github.com · 2023-05-14
CodeLlama2.c: Inference llama 2 in one file of pure Cgithub.com · 2023-07-23 · 707 HN pts
CodeShow HN: I built a free in-browser Llama 3 chatbot powered by WebGPUgithub.com · 2024-05-03 · 547 HN pts
DiscussionFine-tune your own Llama 2 to replace GPT-3.5/4news.ycombinator.com · 2023-09-12 · 955 HN pts
DiscussionMeta AI releases Code Llama 70Btwitter.com · 2024-01-29
CodeShow HN: Finetune LLaMA-7B on commodity GPUs using your own textgithub.com · 2023-03-22
ArticleRun Llama 2 uncensored locallyollama.ai · 2023-08-02
CodeM2 Ultra can run 128 streams of Llama 2 7B in parallelgithub.com · 2023-10-11
ArticleLlama.ttf: A font which is also an LLMfuglede.github.io · 2024-06-23
PaperThe tide is shifting: 1.3B outperforms 7B Llama 2arxiv.org · 2023-09-12
ArticleAlpaca: An Instruct Tuned LLaMA 7B – Responses on par with txt-DaVinci-3crfm.stanford.edu · 2023-03-13
ArticleEagleX 1.7T: Soaring past LLaMA 7B 2T in both English and Multi-lang evalssubstack.recursal.ai · 2024-03-16
ArticlePuma: Secure Inference of LLaMA-7B in Five Minuteshuggingface.co · 2023-07-25
DiscussionLLaMA 7B (Alpaca) running on Google Pixel 7 Protwitter.com · 2023-03-20
DiscussionJlama (Java) outperforms llama.cpp in F32 Llama 7B Modeltwitter.com · 2023-08-14
DiscussionReverse-engineered a Sextortion Bot: Llama-7B instance with 2048 token windowold.reddit.com · 2025-12-30
ArticleLlama-2-7B-32K-Instruct – and fine-tuning for Llama-2 models with Together APItogether.ai · 2023-08-22
CodeLLaMA 7B model running on 4GB RAM Raspberry Pi 4github.com · 2023-03-12

Show all 22

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

#	Cheapest live row	In /1M	Out /1M	Context	Quant	Seen
1	Featherless	—	—	—	—	Oct 25

All 1 provider →

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

Served by 1 API provider; 23 quantized builds for local use; a big base for builders (557 fine-tunes, adapters and merges).

As a service1Featherless
On own hardware23quantized builds
Built on55719 fine-tunes · 538 adapters · 0 merges
In apps70Hugging Face Spaces

Top Spaces running it: rewoo/ReWOO-Demo ♥ 39 · Yeyito/llm_contamination_detector ♥ 27 · sonalkum/GAMA ♥ 17 · Justinrune/LLaMA-Factory ♥ 12

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 4.0 GB at INT4, 8.1 GB at FP8, 16 GB at BF16: weights only, so leave room for the KV cache.

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

Most coverage came in the first two weeks

Teal is the weights (2023-04-03), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.

What people built on it

580 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

580 derivatives on the Hub, most of them adapters

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

GGUF tensorblock/llama-7b-GGUF for llama.cpp, Ollama, LM Studio 1.9k downloads

All variants →

Reference

Everything else, folded: the full tables, every source.

What the card says

1 cited sentence

Summary generated, cited

The model weights are released under a non-commercial license.^[1]

“non-commercial license”

Generated 2026-10-07 15:13 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

2 use cases

What it is good at 2 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Chat and follow instructionsstructuraltag: conversational chat template present
Run on a laptop or phonestructuralfits: single-gpu

Facts

19 fields

Listed in LLMs

Facts

llama-7b has 6.74B parameters. (safetensors metadata, observed 2026-10-24)
Context length is 2,048 tokens (2K). (config.json max_position_embeddings, observed 2026-10-24)
License: Other (friction: review). Custom license; read the repo LICENSE before commercial hosting. (license file, observed 2026-10-24)
Created 2023-04-03, last modified 2024-07-02. (HF API, observed 2026-10-24)

Pipeline tag	text-generation
Library	transformers
Architectures	LlamaForCausalLM
Model type	llama
Dtype	float16
Params by dtype	F32: 2,048 · F16: 6,738,415,616
Size band	M
MoE	no
Context length	2,048 (config.json max_position_embeddings)
License	Other (other)
Hub snapshot	2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · LlamaForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · LlamaForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for llama-7b: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)	16 GB · Single GPU (<24 GB)
FP8 (1 byte/param)	8.1 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)	4.0 GB · Single GPU (<24 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

40 variants

Lineage

Original model Family: huggyllama/llama 580 derivatives on the Hub

finetune: 19adapter: 538quantized: 23

Top variants (40 shown, ranked by downloads)

Variant	Relation	Quant	Params	Band	License	Author	Likes	Downloads
aiplanet/effi-7b	finetune	—	—	—	apache-2.0	aiplanet	4	11.5k
fblgit/una-llama-7b	finetune	—	6.74B	M	other	fblgit	0	8.9k
irlab-udc/cabuxa-7b	adapter	—	—	—	other	irlab-udc	6	5.1k
tensorblock/llama-7b-GGUF	quantized	GGUF	—	—	other	tensorblock	0	1.9k
cwoolee/blast-llama-4B	finetune	—	3.56B	M	other	cwoolee	1	682
pe4enov/saiga_7b_lora_8bit	adapter	—	—	—	—	pe4enov	0	458
neuralwonderland/7fd2fe85-caec-4a13-806e-fa422d7aa822	adapter	—	—	—	other	neuralwonderland	0	457
neuralwonderland/a9a3f510-d16a-4d9b-bd98-2f0a378b45fd	adapter	—	—	—	other	neuralwonderland	0	435
ProgramInNonsense/78103505-5960-43b6-8cfc-0962f38d9cd7	adapter	—	—	—	other	ProgramInNonsense	0	408
itlwas/llama-7b-Q4_K_M-GGUF	quantized	GGUF	—	—	other	itlwas	0	377
ProgramInNonsense/72a28e9c-edff-44dc-8a13-c4a9cc55cb59	adapter	—	—	—	other	ProgramInNonsense	0	358
DTang161/llama1_gsm8k_lora	adapter	—	—	—	—	DTang161	0	356
ser13volk/chine-russian-parody	adapter	GGUF	—	—	—	ser13volk	0	321
alicegoesdown/dc29022e-24d2-4f3c-b02f-653303b444cf	adapter	—	—	—	other	alicegoesdown	0	303
TweedleDeepLearnings/4df87cab-1f48-4454-baee-527446e0cc62	adapter	—	—	—	other	TweedleDeepLearnings	0	296
alicegoesdown/af5eaec6-1890-4504-893a-40f78d66538e	adapter	—	—	—	other	alicegoesdown	0	274
neuralwonderland/04789ab5-7f58-4441-91bb-7a01a11169d2	adapter	—	—	—	other	neuralwonderland	0	273
zero7101/LLaVA-7b-v0	finetune	—	6.74B	M	mit	zero7101	0	263
korotkov/saiga-7b-function-calling	adapter	—	—	—	—	korotkov	1	212
ProgramInNonsense/7316aa05-dd19-466a-a907-965a06325d61	adapter	—	—	—	other	ProgramInNonsense	0	258
alicegoesdown/79535aea-f15b-45ba-964a-88d60ff18985	adapter	—	—	—	other	alicegoesdown	0	255
breitburg/pure-7b-210726	finetune	—	6.74B	M	apache-2.0	breitburg	1	195
pkarypis/llama-ultrachat	finetune	—	6.74B	M	other	pkarypis	0	210
pkarypis/llama-lima	finetune	—	6.74B	M	other	pkarypis	0	199
shrenikb/datasplit-lora-test	adapter	—	—	—	—	shrenikb	0	172
noble6/saiga_siberia1200_llama2_7b	adapter	—	—	—	—	noble6	0	150
nahyeon00/llama1	finetune	—	6.54B	M	other	nahyeon00	0	148
ProgramInNonsense/53b39cea-4a80-4d1b-8abc-682d8587c196	adapter	—	—	—	other	ProgramInNonsense	0	146
KarthickAravind/huggyllama-7b-python-lora	adapter	—	—	—	—	KarthickAravind	0	134
eggsyntax/llama-7b-Q5_K_M-GGUF	quantized	GGUF	—	—	other	eggsyntax	0	126
shrenikb/fed24test	adapter	—	—	—	—	shrenikb	0	117
shrenikb/fed32test	adapter	—	—	—	—	shrenikb	0	111
Alphatao/402b9237-caab-4c65-a5ad-72964a5ebfc6	finetune	—	—	—	—	Alphatao	0	100
yujichai/ft_bench-lora_r_3-num_epochs_3	adapter	—	—	—	—	yujichai	0	96
SilasK/llama-7b-medqa_version_9	adapter	—	7.08B	M	other	SilasK	0	92
drmcbride/llama-7b-Q8_0-GGUF	quantized	Q8_0	—	—	other	drmcbride	0	92
E205295/CPAD	adapter	—	—	—	—	E205295	0	90
phungkhaccuong/b734c7de-cb92-8843-e117-0963b79d8f75	adapter	—	—	—	other	phungkhaccuong	0	88
quasar529/rte_qlora-llama7b_lora	adapter	—	—	—	—	quasar529	0	87
dimasik87/c49592fd-f627-4028-83db-3303fa049176	quantized	—	—	—	—	dimasik87	0	85

Repository changelog

7 commits

Repository changelog 7 commits

Date	Commit	SHA
2024-07-02	Add chat template now that we're deprecating default templates	4782ad2
2023-04-07	Upload tokenizer.json with huggingface_hub	8416d3f
2023-04-07	Update model max length in the tokenizer	79430bb
2023-04-03	Upload README	08637d3
2023-04-03	Upload license	66615e5
2023-04-03	Initial commit	c99d499
2023-04-03	initial commit	cb3009d

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for llama-7b, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting.

Provider	Model ref	Context	Quant	$/M in	$/M out	tok/s	TTFT	Tools	Status	Observed
Featherless hf	huggyllama/llama-7b	—	—	—	—	—	—	—	live	2026-10-25

Articles and coverage

38 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Official2

Code Llama, a state-of-the-art large language model for coding

ai.meta.com2023-08-24authorityHN front pageabout the llama familyHN 970 pts · 501 comments1,460 words

Meta released Code Llama, a code-specialized large language model built on Llama 2 that is free for research and commercial use. The family includes four sizes with 7B, 13B, 34B, and 70B parameters, trained on 500B tokens of code data (1T for the 70B model) and supporting up to 100,000 tokens of context. Benchmark testing showed Code Llama 34B scored 53.7% on HumanEval and 56.2% on MBPP, outperforming other open-source solutions.written, reviewed, cited

Code Llama - Python is a language-specialized variation of Code Llama, further fine-tuned on 100B tokens of Python code.

Llama 3.2: Revolutionizing edge AI and vision with open, customizable models

ai.meta.com2024-09-25authorityHN front pageabout the llama familyHN 924 pts · 328 comments2,460 words

Meta releases Llama 3.2, featuring small and medium-sized vision LLMs (11B and 90B) alongside lightweight text-only models (1B and 3B) designed for edge and mobile devices. The 11B and 90B models serve as drop-in replacements for their corresponding text model equivalents while the 1B and 3B models support a context length of 128K tokens and are enabled on day one for Qualcomm and MediaTek hardware. Both pre-trained and aligned vision models are available for fine-tuning using torchtune and local deployment via torchchat, with weights based on BFloat16 numerics.written, reviewed, cited

The 11B and 90B vision models require an entirely new model architecture that supports image reasoning.
Developers can keep all text-only capabilities intact because the adapter training intentionally did not update the language-model parameters.
The 1B and 3B models are created by using structured pruning in a single shot manner from the Llama 3.1 8B.

Analysis6

The LLama Effect: Leak Sparked a Series of Open Source Alternatives to ChatGPT

thesequence.substack.com2023-04-09authorityHN front pageabout the llama familyHN 791 pts · 504 comments837 words

Meta released Llama in 7B, 13B, 33B, and 65B parameter versions, which were leaked on 4chan and subsequently fine-tuned by researchers into models like Vicuna that match GPT-4 performance. Stanford University released Alpaca, an instruction-following model based on the Llama 7B variant, while UC Berkeley, CMU, Stanford, and UC San Diego open-sourced Vicuna. Additional projects include Koala from Berkeley AI Research, ChatLLama from Nebuly, and ColossalChat from the Colossal-AI project, all leveraging the leaked base model to create open-source conversational agents.written, reviewed, cited

Open source LLM alternatives previously lacked the ability to follow human instructions compared to API models.
BloombergGPT is a 50 billion LLM fine tuned in financial data based on the BLOOM architecture.
The Segment Anything Model was released with the largest computer vision segmentation dataset ever, containing 1-Billion masks.

Llama.cpp: Port of Facebook's LLaMA model in C/C++, with Apple Silicon support

github.com2023-03-10authorityHN front pageabout the llama familyHN 989 pts · 284 comments494 words

llama.cpp enables LLM and VLM inference in C/C++ with minimal setup across various hardware. It supports 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use. Apple silicon is a first-class citizen optimized via ARM NEON, Accelerate and Metal frameworks, while CPU+GPU hybrid inference partially accelerates models larger than the total VRAM capacity.written, reviewed, cited

Gpt4all: A chatbot trained on ~800k GPT-3.5-Turbo Generations based on LLaMa

github.com2023-03-28authorityHN front pageabout the llama familyHN 593 pts · 301 comments466 words

Llama2.c: Inference llama 2 in one file of pure C

github.com2023-07-23authorityHN front pageabout the llama familyHN 707 pts · 165 comments4,774 words

The llama2.c repository offers a 700-line pure C file for training and inferring Llama 2 models, currently supporting fp32 inference for models up to 7B parameters. Work on model quantization is currently ongoing, but the project includes a 110M parameter model trained on the TinyStories dataset.written, reviewed, cited

Models larger than 7B are unusably slow because the repo performs float32 inference.
The 13B+ model variant fails due to integer flow errors in pointer arithmetic.

Show HN: I built a free in-browser Llama 3 chatbot powered by WebGPU

github.com2024-05-03authorityHN front pageabout the llama familyHN 547 pts · 139 comments233 words

Secret-llama is an entirely-in-browser LLM chatbot powered by the webllm inference engine that runs fully private without needing a server. It supports models like Llama 3 and Mistral, ranging in size from 600MB to 4.3GB, requiring WebGPU support. Users can try it directly online, while developers compile the React code using yarn build-and-preview.written, reviewed, cited

Running LLaMA 7B on a 64GB M2 MacBook Pro with Llama.cpp

til.simonwillison.net2023-03-11authorityHN front pageHN 225 pts · 76 comments

Community2

Llama.cpp 30B runs with only 6GB of RAM now

github.com2023-03-31authorityHN front pageabout the llama familyHN 1,311 pts · 414 comments989 words

llama.cpp introduces a new file format enabling memory mapping for model weights, resulting in loading speeds 10 to 100 times faster. This change allows safely loading models up to 2x larger, supports running many concurrent inference processes, and ensures tensors are aligned properly on a 32-byte boundary. Users who deleted old Meta LLaMA .pth files can use the migrate-ggml-2023-03-30-pr613.py script to convert old ggml files into the new mmap()'able format.written, reviewed, cited

The new format merges multi-file models like LLaMA 13B into a single file to prevent C++ code from reshaping data during loading.

Fine-tune your own Llama 2 to replace GPT-3.5/4

news.ycombinator.com2023-09-12HN front pageabout the llama familyHN 955 pts · 181 comments10,023 words

Fine-tuning open-source Llama 2 models can replace GPT-3.5 and GPT-4 for specific tasks, with a fine-tuned Llama 7B matching GPT-4 labels 95% of the time on a test set. While fine-tuning requires 1000+ examples and is less flexible than prompting, a fine-tuned Llama 7B is 50x cheaper than GPT-3.5 per token, costing just $19 to classify 2M recipes versus $23k for GPT-4.written, reviewed, cited

All coverage tracked for this model (38) — append-only, nothing is ever removed

Title	Source	Published	First seen	Signals
Reverse-engineered a Sextortion Bot: Llama-7B instance with 2048 token window	old.reddit.com	2025-12-30	2026-10-07	hn
Llama 3.2: Revolutionizing edge AI and vision with open, customizable models	ai.meta.com	2024-09-25	2026-10-07	hn
Fine-tune large models like Mistral-7B, Llama-2-13B, Phi-2, or Qwen-14B for free	github.com	2024-08-28	2026-10-07	hn
Llama.ttf: A font which is also an LLM	fuglede.github.io	2024-06-23	2026-10-07	hn
Show HN: I built a free in-browser Llama 3 chatbot powered by WebGPU	github.com	2024-05-03	2026-10-07	hn
Ask HN: Llama-2-7B adapter merged with llama-2-7B-chat model?	news.ycombinator.com	2024-04-22	2026-10-07	hn
EagleX 1.7T: Soaring past LLaMA 7B 2T in both English and Multi-lang evals	substack.recursal.ai	2024-03-16	2026-10-07	hn
Devin fine tuning a 7B llama model	twitter.com	2024-03-13	2026-10-07	hn
Meta AI releases Code Llama 70B	twitter.com	2024-01-29	2026-10-07	hn
MLX: Fine-tune Llama 7B or Mistral 7B with 32GB	github.com	2023-12-15	2026-10-07	hn
Show HN: A script to deploy Llama7B on A10 Batch size 1 100 Token per sec	github.com	2023-11-26	2026-10-07	hn
We Fine-Tuned a LlaMA 7B Language Model to Use GraphQL APIs	weaviate.io	2023-10-24	2026-10-07	hn
Fine-tuned Llama 2 7B to analyze 10-K financial reports and write funny tweets	gist.github.com	2023-10-17	2026-10-07	hn
M2 Ultra can run 128 streams of Llama 2 7B in parallel	github.com	2023-10-11	2026-10-07	hn
Mistral AI 7B – beats Llama 2 7B and 13B	mystic.ai	2023-09-28	2026-10-07	hn
Fine-tune your own Llama 2 to replace GPT-3.5/4	news.ycombinator.com	2023-09-12	2026-10-07	hn
The tide is shifting: 1.3B outperforms 7B Llama 2	arxiv.org	2023-09-12	2026-10-07	hn
Code Llama, a state-of-the-art large language model for coding	ai.meta.com	2023-08-24	2026-10-07	hn
Llama-2-7B-32K-Instruct – and fine-tuning for Llama-2 models with Together API	together.ai	2023-08-22	2026-10-07	hn
Jlama (Java) outperforms llama.cpp in F32 Llama 7B Model	twitter.com	2023-08-14	2026-10-07	hn
What’s the difference between Llama 2 7B, 13B, and 70B?	replicate.com	2023-08-07	2026-10-07	hn
Run Llama 2 uncensored locally	ollama.ai	2023-08-02	2026-10-07	hn
Puma: Secure Inference of LLaMA-7B in Five Minutes	huggingface.co	2023-07-25	2026-10-07	hn
Llama2.c: Inference llama 2 in one file of pure C	github.com	2023-07-23	2026-10-07	hn
Fine tune Llama 2 (7B) with an API	replicate.com	2023-07-20	2026-10-07	hn
Sleeper agent: a proof-of-concept llama 7B finetune with a codephrase backdoor	twitter.com	2023-06-28	2026-10-07	hn
Run Llama 13B with a 6GB graphics card	gist.github.com	2023-05-14	2026-10-07	hn
I Conducted Experiments with the Alpaca/LLaMA 7B Language Model	hackernoon.com	2023-04-12	2026-10-07	hn
The LLama Effect: Leak Sparked a Series of Open Source Alternatives to ChatGPT	thesequence.substack.com	2023-04-09	2026-10-07	hn
Llama.cpp 30B runs with only 6GB of RAM now	github.com	2023-03-31	2026-10-07	hn
Gpt4all: A chatbot trained on ~800k GPT-3.5-Turbo Generations based on LLaMa	github.com	2023-03-28	2026-10-07	hn
Show HN: Finetune LLaMA-7B on commodity GPUs using your own text	github.com	2023-03-22	2026-10-07	hn
LLaMA 7B (Alpaca) running on Google Pixel 7 Pro	twitter.com	2023-03-20	2026-10-07	hn
Alpaca: An Instruct Tuned LLaMA 7B – Responses on par with txt-DaVinci-3	crfm.stanford.edu	2023-03-13	2026-10-07	hn
LLaMA 7B model running on 4GB RAM Raspberry Pi 4	github.com	2023-03-12	2026-10-07	hn
Using LLaMA 7B LLM on Raspberry Pi 4	twitter.com	2023-03-12	2026-10-07	hn
Running LLaMA 7B on a 64GB M2 MacBook Pro with Llama.cpp	til.simonwillison.net	2023-03-11	2026-10-07	hn
Llama.cpp: Port of Facebook's LLaMA model in C/C++, with Apple Silicon support	github.com	2023-03-10	2026-10-07	hn

Similar models

3 models

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Llama-2-7b-chat-hf · 6.74B
same size band (M), same task (text-generation)
Llama-2-7b-hf · 6.74B
same size band (M), same task (text-generation)
Llama-3.1-8B-Instruct · 8.03B
same size band (M), same task (text-generation), more providers

Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:41 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:13 UTC · Last verified 2026-10-25

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/feeds/models/huggyllama--llama-7b.xml(RSS 2.0) · every change to llama-7b
/feeds/families/huggyllama--llama.xml(RSS 2.0) · every change across the llama family

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